63 lines
1.8 KiB
Julia
63 lines
1.8 KiB
Julia
using ArgParse
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###############################################################################
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#
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# Parsing command line
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#
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###############################################################################
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function parse_commandline()
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settings = ArgParseSettings()
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@add_arg_table settings begin
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"--tol"
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help = "set numerical tolerance for the SDP solver"
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arg_type = Float64
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default = 1e-6
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"--iterations"
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help = "set maximal number of iterations for the SDP solver"
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arg_type = Int
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default = 50000
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"--upper-bound"
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help = "Set an upper bound for the spectral gap"
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arg_type = Float64
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default = Inf
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"--cpus"
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help = "Set number of cpus used by solver"
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arg_type = Int
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required = false
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"--radius"
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help = "Radius of ball B_r(e,S) to find solution over"
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arg_type = Int
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default = 2
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"--warmstart"
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help = "Use warmstart.jld as the initial guess for SCS"
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action = :store_true
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"--nosymmetry"
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help = "Don't use symmetries of the Laplacian"
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action = :store_true
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"-p"
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help = "Matrices over field of p-elements (p=0 => over ZZ)"
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arg_type = Int
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default = 0
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"-X"
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help = "Consider EL(N, ZZ⟨X⟩)"
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action = :store_true
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"N"
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help = "Compute with the group generated by elementary matrices of size n×n"
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arg_type = Int
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default = 2
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end
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return parse_args(settings)
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end
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const PARSEDARGS = parse_commandline()
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include("CPUselect.jl")
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set_parallel_mthread(PARSEDARGS, workers=true)
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include("main.jl")
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G = PropertyTGroups.SpecialLinearGroup(PARSEDARGS)
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main(G)
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