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use preps_reprs instead of matrix_reprs
and save them in preps.jld
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2d02c98947
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@ -103,7 +103,7 @@ function init_orbit_data(logger, sett::Settings; radius=2)
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ex(fname) = isfile(joinpath(prepath(sett), fname))
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ex(fname) = isfile(joinpath(prepath(sett), fname))
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files_exists = ex.(["delta.jld", "pm.jld", "U_pis.jld", "orbits.jld"])
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files_exists = ex.(["delta.jld", "pm.jld", "U_pis.jld", "orbits.jld", "preps.jld"])
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if !all(files_exists)
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if !all(files_exists)
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compute_orbit_data(logger, prepath(sett), sett.G, sett.S, sett.AutS, radius=radius)
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compute_orbit_data(logger, prepath(sett), sett.G, sett.S, sett.AutS, radius=radius)
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@ -204,7 +204,7 @@ function λandP(m::JuMP.Model, data::OrbitData, sett::Settings)
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info(logger, "Reconstructing P...")
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info(logger, "Reconstructing P...")
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@logtime logger preps = perm_reps(sett.G, sett.S, sett.AutS, sett.radius)
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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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@ -213,6 +213,18 @@ function λandP(m::JuMP.Model, data::OrbitData, sett::Settings)
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return λ, recP
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return λ, recP
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end
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end
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function load_preps(fname::String, G::Nemo.Group)
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lded_preps = load(fname, "perms_d")
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permG = PermutationGroup(length(first(lded_preps)))
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@assert length(lded_preps) == order(G)
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return Dict(k=>permG(v) for (k,v) in zip(elements(G), lded_preps))
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end
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function save_preps(fname::String, preps)
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autS = parent(first(keys(preps)))
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JLD.save(fname, "perms_d", [preps[elt].d for elt in elements(autS)])
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end
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function check_property_T(sett::Settings)
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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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@ -225,7 +225,9 @@ function compute_orbit_data{T<:GroupElem}(logger, name::String, G::Nemo.Group, S
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save(joinpath(name, "orbits.jld"), "orbits", orbs)
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save(joinpath(name, "orbits.jld"), "orbits", orbs)
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info(logger, "Action matrices")
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info(logger, "Action matrices")
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@logtime logger AutS_mreps = matrix_reps(AutS, E4[1:sizes[radius]], E_dict)
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@logtime logger reps = perm_reps(AutS, E_2R[1:sizes[radius]], E_rdict)
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save_preps(joinpath(name, "preps.jld"), reps)
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reps = matrix_reps(reps)
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info(logger, "Projections")
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info(logger, "Projections")
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@logtime logger AutS_mps = rankOne_projections(AutS);
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@logtime logger AutS_mps = rankOne_projections(AutS);
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