mirror of
https://github.com/kalmarek/SmallHyperbolic
synced 2024-07-27 21:10:31 +02:00
46 lines
1.5 KiB
Julia
46 lines
1.5 KiB
Julia
using Pkg
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Pkg.activate(@__DIR__)
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using DelimitedFiles
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using JSON
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include(joinpath(@__DIR__, "parse_presentations.jl"))
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include(joinpath(@__DIR__, "smallhyperbolicgrp.jl"))
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all_grps_presentations =
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let tables = [
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joinpath(@__DIR__, f) for f in readdir(@__DIR__) if
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isfile(joinpath(@__DIR__, f)) && endswith(f, ".txt")
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]
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mapreduce(parse_grouppresentations_abstract, union, tables) |> Dict
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end
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tr_grps =
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let csvs = [
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joinpath(@__DIR__, f) for f in readdir(@__DIR__) if
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isfile(joinpath(@__DIR__, f)) && endswith(f, ".csv")
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]
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trGrps = mapreduce(union, csvs) do file
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m = match(r".*_(\d)_(\d)_(\d).csv", basename(file))
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@assert !isnothing(m)
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type = parse.(Int, tuple(m[1], m[2], m[3]))
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data = readdlm(file, '&')
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labels = Symbol.(replace.(strip.(data[1, :]), ' ' => '_', '-' => '_'))
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groups = data[2:end, :]
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grps = map(enumerate(eachrow(groups))) do (i, props)
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nt = (; (Symbol(l) => v for (l, v) in zip(labels, props))...)
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@debug i, grp_name(nt)
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P = all_grps_presentations[grp_name(nt)]
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grp = TriangleGrp(type, P.generators, P.relations, nt)
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end
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end
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end
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open(joinpath(@__DIR__, "triangle_groups.json"), "w") do io
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f(args...) = show_json(args...; indent = 4)
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s = sprint(f, TriangleGrpSerialization(), tr_grps)
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# JSON.print(io, , 4)
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print(io, s)
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end
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