mirror of
https://github.com/kalmarek/PropertyT.jl.git
synced 2024-11-19 07:20:28 +01:00
fix Memento deprecations; make clear when logger is global
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@ -51,10 +51,10 @@ function distance_to_cone{T<:Interval}(elt::GroupRingElem, Q::AbstractArray{T,2}
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SOS_diff = elt - SOS
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ɛ_dist = GroupRings.augmentation(SOS_diff)
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info(logger, "ɛ(∑ξᵢ*ξᵢ) ∈ $(ɛ_dist)")
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info(LOGGER, "ɛ(∑ξᵢ*ξᵢ) ∈ $(ɛ_dist)")
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eoi_SOS_L1_dist = norm(SOS_diff,1)
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info(logger, "‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ∈ $(eoi_SOS_L1_dist)")
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info(LOGGER, "‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ∈ $(eoi_SOS_L1_dist)")
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dist = 2^(wlen-1)*eoi_SOS_L1_dist
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return dist
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@ -65,10 +65,10 @@ function distance_to_cone{T}(elt::GroupRingElem, Q::AbstractArray{T,2}, wlen::In
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SOS_diff = elt - SOS
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ɛ_dist = GroupRings.augmentation(SOS_diff)
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info(logger, "ɛ(Δ² - λΔ - ∑ξᵢ*ξᵢ) ≈ $(@sprintf("%.10f", ɛ_dist))")
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info(LOGGER, "ɛ(Δ² - λΔ - ∑ξᵢ*ξᵢ) ≈ $(@sprintf("%.10f", ɛ_dist))")
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eoi_SOS_L1_dist = norm(SOS_diff,1)
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info(logger, "‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ≈ $(@sprintf("%.10f", eoi_SOS_L1_dist))")
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info(LOGGER, "‖Δ² - λΔ - ∑ξᵢ*ξᵢ‖₁ ≈ $(@sprintf("%.10f", eoi_SOS_L1_dist))")
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dist = 2^(wlen-1)*eoi_SOS_L1_dist
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return dist
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@ -99,7 +99,7 @@ function augIdproj{T}(Q::AbstractArray{T,2}, logger)
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return Q
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end
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function distance_to_positive_cone(Δ::GroupRingElem, λ, Q, wlen::Int)
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function distance_to_positive_cone(Δ::GroupRingElem, λ, Q, wlen::Int, logger)
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info(logger, "------------------------------------------------------------")
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info(logger, "λ = $λ")
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info(logger, "Checking in floating-point arithmetic...")
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@ -79,7 +79,7 @@ function sparsify!{Tv,Ti}(M::SparseMatrixCSC{Tv,Ti}, eps=eps(Tv); verbose=false)
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m = nnz(M)
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if verbose
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info(logger, "Sparsified density:", rpad(densM, 20), " → ", rpad(dens(M), 20))
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info(LOGGER, "Sparsified density:", rpad(densM, 20), " → ", rpad(dens(M), 20))
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end
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return M
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@ -91,11 +91,11 @@ function sparsify!{T}(M::AbstractArray{T}, eps=eps(T); check=false, verbose=fals
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M[abs.(M) .< eps] .= zero(T)
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if check && rankM != rank(M)
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warn(logger, "Sparsification decreased the rank!")
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warn(LOGGER, "Sparsification decreased the rank!")
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end
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if verbose
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info(logger, "Sparsified density:", rpad(densM, 20), " → ", rpad(dens(M),20))
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info(LOGGER, "Sparsified density:", rpad(densM, 20), " → ", rpad(dens(M),20))
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end
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return sparse(M)
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@ -178,8 +178,8 @@ function init_model(n, sizes)
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end
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function create_SDP_problem(sett::Settings)
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info(logger, "Loading orbit data....")
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@logtime logger SDP_problem, orb_data = OrbitData(sett);
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info(LOGGER, "Loading orbit data....")
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@logtime LOGGER SDP_problem, orb_data = OrbitData(sett);
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if sett.upper_bound < Inf
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λ = JuMP.getvariable(SDP_problem, :λ)
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@ -187,8 +187,8 @@ function create_SDP_problem(sett::Settings)
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end
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t = length(orb_data.laplacian)
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info(logger, "Adding $t constraints ... ")
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@logtime logger addconstraints!(SDP_problem, orb_data)
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info(LOGGER, "Adding $t constraints ... ")
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@logtime LOGGER addconstraints!(SDP_problem, orb_data)
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return SDP_problem, orb_data
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end
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@ -201,14 +201,14 @@ function λandP(m::JuMP.Model, data::OrbitData, warmstart=true)
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end
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function λandP(m::JuMP.Model, data::OrbitData, sett::Settings)
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info(logger, "Solving SDP problem...")
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info(LOGGER, "Solving SDP problem...")
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λ, Ps = λandP(m, data, sett.warmstart)
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info(logger, "Reconstructing P...")
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info(LOGGER, "Reconstructing P...")
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preps = load_preps(joinpath(prepath(sett), "preps.jld"), sett.autS)
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@logtime logger recP = reconstruct_sol(preps, data.Us, Ps, data.dims)
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@logtime LOGGER recP = reconstruct_sol(preps, data.Us, Ps, data.dims)
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fname = PropertyT.λSDPfilenames(fullpath(sett))[2]
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save(fname, "origP", Ps, "P", recP)
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@ -229,22 +229,22 @@ end
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function check_property_T(sett::Settings)
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init_orbit_data(logger, sett, radius=sett.radius)
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init_orbit_data(LOGGER, sett, radius=sett.radius)
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if !sett.warmstart && all(isfile.(λSDPfilenames(fullpath(sett))))
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λ, P = PropertyT.λandP(fullpath(sett))
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else
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info(logger, "Creating SDP problem...")
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info(LOGGER, "Creating SDP problem...")
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SDP_problem, orb_data = create_SDP_problem(sett)
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JuMP.setsolver(SDP_problem, sett.solver)
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λ, P = λandP(SDP_problem, orb_data, sett)
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end
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info(logger, "λ = $λ")
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info(logger, "sum(P) = $(sum(P))")
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info(logger, "maximum(P) = $(maximum(P))")
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info(logger, "minimum(P) = $(minimum(P))")
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info(LOGGER, "λ = $λ")
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info(LOGGER, "sum(P) = $(sum(P))")
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info(LOGGER, "maximum(P) = $(maximum(P))")
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info(LOGGER, "minimum(P) = $(minimum(P))")
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if λ > 0
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pm_fname, Δ_fname = pmΔfilenames(prepath(sett))
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@ -254,24 +254,24 @@ function check_property_T(sett::Settings)
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isapprox(eigvals(P), abs.(eigvals(P)), atol=sett.tol) ||
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warn("The solution matrix doesn't seem to be positive definite!")
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# @assert P == Symmetric(P)
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@logtime logger Q = real(sqrtm(Symmetric(P)))
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@logtime LOGGER Q = real(sqrtm(Symmetric(P)))
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sgap = distance_to_positive_cone(Δ, λ, Q, 2*sett.radius)
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sgap = distance_to_positive_cone(Δ, λ, Q, 2*sett.radius, LOGGER)
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if isa(sgap, Interval)
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sgap = sgap.lo
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end
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if sgap > 0
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info(logger, "λ ≥ $(Float64(trunc(sgap,12)))")
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info(LOGGER, "λ ≥ $(Float64(trunc(sgap,12)))")
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Kazhdan_κ = PropertyT.Kazhdan_from_sgap(sgap, length(sett.S))
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Kazhdan_κ = Float64(trunc(Kazhdan_κ, 12))
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info(logger, "κ($(sett.name), S) ≥ $Kazhdan_κ: Group HAS property (T)!")
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info(LOGGER, "κ($(sett.name), S) ≥ $Kazhdan_κ: Group HAS property (T)!")
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return true
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else
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sgap = Float64(trunc(sgap, 12))
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info(logger, "λ($(sett.name), S) ≥ $sgap: Group may NOT HAVE property (T)!")
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info(LOGGER, "λ($(sett.name), S) ≥ $sgap: Group may NOT HAVE property (T)!")
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return false
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end
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end
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info(logger, "κ($(sett.name), S) ≥ $λ < 0: Tells us nothing about property (T)")
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info(LOGGER, "κ($(sett.name), S) ≥ $λ < 0: Tells us nothing about property (T)")
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return false
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end
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@ -12,19 +12,21 @@ using MathProgBase
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using Memento
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const logger = Memento.config("info", fmt="{msg}")
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const solver_logger = Memento.config("info", fmt="{msg}")
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const LOGGER = Memento.config("info", fmt="{msg}")
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const LOGGER_SOLVER = Memento.config("info", fmt="{msg}")
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function setup_logging(name::String)
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isdir(name) || mkdir(name)
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isdir(name) || mkdir(name)
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Memento.add_handler(logger,
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Memento.DefaultHandler(joinpath(name,"full_$(string((now()))).log"),
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Memento.DefaultFormatter("{date}| {msg}")), "full_log")
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handler = Memento.DefaultHandler(
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joinpath(name,"full_$(string((now()))).log"), Memento.DefaultFormatter("{date}| {msg}")
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)
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handler.levels.x = LOGGER.levels
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LOGGER.handlers["full_log"] = handler
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e = redirect_stderr(logger.handlers["full_log"].io)
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e = redirect_stderr(logger.handlers["full_log"].io)
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return logger
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return logger
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end
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macro logtime(logger, ex)
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@ -35,7 +37,7 @@ macro logtime(logger, ex)
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elapsedtime = Base.time_ns() - elapsedtime
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local diff = Base.GC_Diff(Base.gc_num(), stats)
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local ts = time_string(elapsedtime, diff.allocd, diff.total_time,
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Base.gc_alloc_count(diff))
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Base.gc_alloc_count(diff))
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esc(info(logger, ts))
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val
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end
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@ -85,7 +87,7 @@ function λSDPfilenames(prefix::String)
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end
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function ΔandSDPconstraints(prefix::String, G::Group)
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info(logger, "Loading precomputed pm, Δ, sdp_constraints...")
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info(LOGGER, "Loading precomputed pm, Δ, sdp_constraints...")
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pm_fname, Δ_fname = pmΔfilenames(prefix)
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product_matrix = load(pm_fname, "pm")
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@ -98,7 +100,7 @@ function ΔandSDPconstraints(prefix::String, G::Group)
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end
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function ΔandSDPconstraints{T<:GroupElem}(name::String, S::Vector{T}, Id::T; radius::Int=2)
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info(logger, "Computing pm, Δ, sdp_constraints...")
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info(LOGGER, "Computing pm, Δ, sdp_constraints...")
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Δ, sdp_constraints = ΔandSDPconstraints(S, Id, radius=radius)
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pm_fname, Δ_fname = pmΔfilenames(name)
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save(pm_fname, "pm", parent(Δ).pm)
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@ -107,14 +109,14 @@ function ΔandSDPconstraints{T<:GroupElem}(name::String, S::Vector{T}, Id::T; ra
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end
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function ΔandSDPconstraints{T<:GroupElem}(S::Vector{T}, Id::T; radius::Int=2)
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info(logger, "Generating balls of sizes $sizes")
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@logtime logger E_R, sizes = Groups.generate_balls(S, Id, radius=2*radius)
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info(LOGGER, "Generating balls of sizes $sizes")
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@logtime LOGGER E_R, sizes = Groups.generate_balls(S, Id, radius=2*radius)
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info(logger, "Creating product matrix...")
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@logtime logger pm = GroupRings.create_pm(E_R, GroupRings.reverse_dict(E_R), sizes[radius]; twisted=true)
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info(LOGGER, "Creating product matrix...")
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@logtime LOGGER pm = GroupRings.create_pm(E_R, GroupRings.reverse_dict(E_R), sizes[radius]; twisted=true)
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info(logger, "Creating sdp_constratints...")
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@logtime logger sdp_constraints = PropertyT.constraints(pm)
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info(LOGGER, "Creating sdp_constratints...")
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@logtime LOGGER sdp_constraints = PropertyT.constraints(pm)
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RG = GroupRing(parent(Id), E_R, pm)
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@ -128,7 +130,7 @@ function λandP(name::String)
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f₂ = exists(SDP_fname)
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if f₁ && f₂
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info(logger, "Loading precomputed λ, P...")
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info(LOGGER, "Loading precomputed λ, P...")
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λ = load(λ_fname, "λ")
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P = load(SDP_fname, "P")
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else
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@ -138,10 +140,14 @@ function λandP(name::String)
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end
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function λandP(name::String, SDP_problem::JuMP.Model, varλ, varP, warmstart=false)
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add_handler(solver_logger,
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DefaultHandler(joinpath(name, "solver_$(string(now())).log"),
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DefaultFormatter("{date}| {msg}")),
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"solver_log")
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handler = DefaultHandler(
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joinpath(name, "solver_$(string(now())).log"),
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DefaultFormatter("{date}| {msg}")
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)
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handler.levels.x = LOGGER_SOLVER.levels
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LOGGER_SOLVER.handlers["solver_log"] = handler
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if warmstart && isfile(joinpath(name, "warmstart.jld"))
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ws = load(joinpath(name, "warmstart.jld"), "warmstart")
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else
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@ -150,7 +156,7 @@ function λandP(name::String, SDP_problem::JuMP.Model, varλ, varP, warmstart=fa
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λ, P, warmstart = compute_λandP(SDP_problem, varλ, varP, warmstart=ws)
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remove_handler(solver_logger, "solver_log")
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delete!(LOGGER_SOLVER.handlers, "solver_log")
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λ_fname, P_fname = λSDPfilenames(name)
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@ -276,7 +282,7 @@ function compute_λandP(m, varλ, varP; warmstart=nothing)
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solve_SDP(m)
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λ = MathProgBase.getobjval(m.internalModel)
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catch y
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warn(solver_logger, y)
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warn(LOGGER_SOLVER, y)
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end
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end
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@ -308,7 +314,7 @@ function check_property_T(name::String, S, Id, solver, upper_bound, tol, radius)
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if all(exists.(λSDPfilenames(name)))
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λ, P = λandP(name)
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else
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info(logger, "Creating SDP problem...")
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info(LOGGER, "Creating SDP problem...")
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SDP_problem, λ, P = create_SDP_problem(Δ, sdp_constraints, upper_bound=upper_bound)
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JuMP.setsolver(SDP_problem, solver)
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@ -316,10 +322,10 @@ function check_property_T(name::String, S, Id, solver, upper_bound, tol, radius)
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λ, P = λandP(name, SDP_problem, λ, P)
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end
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info(logger, "λ = $λ")
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info(logger, "sum(P) = $(sum(P))")
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info(logger, "maximum(P) = $(maximum(P))")
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info(logger, "minimum(P) = $(minimum(P))")
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info(LOGGER, "λ = $λ")
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info(LOGGER, "sum(P) = $(sum(P))")
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info(LOGGER, "maximum(P) = $(maximum(P))")
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info(LOGGER, "minimum(P) = $(minimum(P))")
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if λ > 0
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pm_fname, Δ_fname = pmΔfilenames(name)
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@ -329,25 +335,25 @@ function check_property_T(name::String, S, Id, solver, upper_bound, tol, radius)
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isapprox(eigvals(P), abs(eigvals(P)), atol=tol) ||
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warn("The solution matrix doesn't seem to be positive definite!")
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# @assert P == Symmetric(P)
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@logtime logger Q = real(sqrtm(Symmetric(P)))
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@logtime LOGGER Q = real(sqrtm(Symmetric(P)))
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sgap = distance_to_positive_cone(Δ, λ, Q, 2*radius)
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sgap = distance_to_positive_cone(Δ, λ, Q, 2*radius, LOGGER)
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if isa(sgap, Interval)
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sgap = sgap.lo
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end
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if sgap > 0
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info(logger, "λ ≥ $(Float64(trunc(sgap,12)))")
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info(LOGGER, "λ ≥ $(Float64(trunc(sgap,12)))")
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Kazhdan_κ = Kazhdan_from_sgap(sgap, length(S))
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Kazhdan_κ = Float64(trunc(Kazhdan_κ, 12))
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info(logger, "κ($name, S) ≥ $Kazhdan_κ: Group HAS property (T)!")
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info(LOGGER, "κ($name, S) ≥ $Kazhdan_κ: Group HAS property (T)!")
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return true
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else
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sgap = Float64(trunc(sgap, 12))
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info(logger, "λ($name, S) ≥ $sgap: Group may NOT HAVE property (T)!")
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info(LOGGER, "λ($name, S) ≥ $sgap: Group may NOT HAVE property (T)!")
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return false
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end
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end
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info(logger, "κ($name, S) ≥ $λ < 0: Tells us nothing about property (T)")
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info(LOGGER, "κ($name, S) ≥ $λ < 0: Tells us nothing about property (T)")
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return false
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end
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10
src/SDPs.jl
10
src/SDPs.jl
@ -56,20 +56,20 @@ function create_SDP_problem(Δ::GroupRingElem, matrix_constraints; upper_bound=I
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end
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function solve_SDP(SDP_problem)
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info(logger, Base.repr(SDP_problem))
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info(LOGGER, Base.repr(SDP_problem))
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o = redirect_stdout(solver_logger.handlers["solver_log"].io)
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o = redirect_stdout(LOGGER_SOLVER.handlers["solver_log"].io)
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Base.Libc.flush_cstdio()
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@logtime logger solution_status = MathProgBase.optimize!(SDP_problem.internalModel)
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@logtime LOGGER solution_status = MathProgBase.optimize!(SDP_problem.internalModel)
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Base.Libc.flush_cstdio()
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redirect_stdout(o)
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if solution_status != :Optimal
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warn(logger, "The solver did not solve the problem successfully!")
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warn(LOGGER, "The solver did not solve the problem successfully!")
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end
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info(logger, solution_status)
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info(LOGGER, solution_status)
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return 0
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end
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