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update: skew_stats.jl (add plots with standard psboards only)
- decorated plots for publish
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3 changed files with 836 additions and 758 deletions
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Before Width: | Height: | Size: 165 KiB After Width: | Height: | Size: 154 KiB |
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@ -23,6 +23,7 @@ begin
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using Statistics
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using PlutoUI
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using Random
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using Printf
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end
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# ╔═╡ f25e7e08-8a73-4cac-ac7c-d310725c558d
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@ -190,7 +191,7 @@ md"""
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# ╔═╡ 420dce0e-4757-48d9-84ec-7ddfac2fdff6
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let
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skew_widths = df_skews.width |> skipmissing |> collect
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bins = range(0, maximum(skew_widths), step = 1 / 57)# .- 0.01
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bins = range(0, maximum(skew_widths) + 1 / 57, step = 1 / 57)# .- 0.01
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hist(
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skew_widths,
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bins = bins,
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@ -255,25 +256,6 @@ df_skew_stats = let
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df
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end
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# ╔═╡ 893253c3-f0b2-401f-b892-b23291bcf5c1
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fig_skew_stats = let
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fig, ax, sc = scatter(
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df_skew_stats.mean_skew,
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df_skew_stats.std_skew,
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marker = :x,
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color = (Makie.wong_colors()[1], 0.8),
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axis = (title = "skew mean vs std", xlabel = "mean", ylabel = "std"),
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)
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text!(
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ax,
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df_skew_stats.mean_skew,
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df_skew_stats.std_skew,
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text = string.(df_skew_stats.psbid),
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color = (:gray, 0.5),
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)
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fig
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end
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# ╔═╡ 6467dcaa-6bd6-45c7-8c08-b310a09b8b0b
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save("clock_skew_stats.svg", fig_skew_stats)
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@ -493,9 +475,109 @@ end
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# ╔═╡ aa9b78bc-8d66-4df2-bd06-1cbf21190488
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filter(:width => (x -> ismissing(x) || x < 0.06), df_skews_selected)
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# ╔═╡ 86437ee6-ccea-43fa-bd93-d86fe055f28d
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md"""
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# プロットまとめ
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- 何らかの異常が見られたものをすべて除外してプロット
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!!! todo
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skew測定が使い物になるかのフラグをデータベースにいれる？
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"""
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# ╔═╡ 2a24c277-6679-49f3-b387-6937b7661a25
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invalid_measurements = [215, 291, 442, 460, 462, 545, 799, 802, 444, 255, 435]
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# ╔═╡ 13b4112f-96ab-41a1-8ef1-d940771f6ece
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df_skews_selected_valids = let
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df = filter(:psbid => !in(invalid_measurements), df_skews_selected)
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df
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end
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# ╔═╡ 6a856a55-2611-41d0-a2c7-3645c066fc3c
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begin
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@assert all(!ismissing, df_skews_selected_valids.skew)
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@assert all(!ismissing, df_skews_selected_valids.width)
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@assert all(==(1), df_skews_selected_valids.riseup)
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end
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# ╔═╡ 4a4ef945-b312-44ed-ab62-ce01fc33f926
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let
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bins = range(
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minimum(df_skews_selected_valids.skew) - 5 / 57,
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maximum(df_skews_selected_valids.skew) + 5 / 57,
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step = 2 / 57,
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)
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fig = Figure()
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ax = Axis(
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fig[1, 1],
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title = "skews",
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limits = (nothing, (nothing, nothing)),
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xlabel = "skew / ns",
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)
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sh1 = stephist!(ax, df_skews_selected_valids.skew, bins = bins)
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Legend(
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fig[1, 1],
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[sh1],
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["""
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n = $(nrow(df_skews_selected_valids))
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μ = $(@sprintf "%.2g" mean(df_skews_selected_valids.skew))
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σ = $(@sprintf "%.2g" std(df_skews_selected_valids.skew))
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"""],
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tellwidth = false,
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tellheight = false,
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halign = :right,
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valign = :top,
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margin = (10, 10, 10, 10),
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)
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fig
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end
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# ╔═╡ 13bb4978-b98d-44a3-a4b6-4241cadc609b
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let
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bins = range(
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minimum(df_skews_selected_valids.width) - 1 / 57,
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maximum(df_skews_selected_valids.width) + 2 / 57,
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step = 1 / 57,
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)
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fig = Figure()
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ax = Axis(
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fig[1, 1],
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title = "rise up span",
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xlabel = "time / ns",
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xticks = (
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bins,
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string.(round.(bins, digits = 3)),# .* "," .* string.(round.(Int64, bins * 57)),
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),
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xticklabelrotation = π / 3,
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)
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h1 = hist!(
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ax,
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df_skews_selected_valids.width,
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bins = bins,
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bar_labels = :y,
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label_formatter = x -> "$(round(Int, x))",
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flip_labels_at = 330,
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)
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Legend(
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fig[1, 1],
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[h1],
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["""
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n = $(nrow(df_skews_selected_valids))
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μ = $(@sprintf "%.2g" mean(df_skews_selected_valids.width))
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σ = $(@sprintf "%.2g" std(df_skews_selected_valids.width))
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"""],
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tellwidth = false,
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tellheight = false,
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halign = :right,
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valign = :top,
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margin = (10, 10, 10, 10),
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)
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fig
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end
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# ╔═╡ 6c3c7669-d594-425d-bf05-9aa217c7656e
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md"""
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## turn on curves
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# turn on curves
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- lines on
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- the minimum and maximum skews
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- the minimum and maximum widths
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@ -578,6 +660,52 @@ let
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fig
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end
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# ╔═╡ 19f85f1b-07d3-48c2-9ca6-a5a8eb1ab746
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fig_skew_stats = let
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fig, ax, sc = scatter(
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df_skew_stats.mean_skew,
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df_skew_stats.std_skew,
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marker = :x,
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color = (Makie.wong_colors()[1], 0.8),
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axis = (
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title = "skew mean vs std",
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xlabel = "mean",
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ylabel = "std",
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limits = ((-0.6, 1.2), (-0.01, 0.09)),
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),
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)
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text!(
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ax,
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df_skew_stats.mean_skew,
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df_skew_stats.std_skew,
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text = string.(df_skew_stats.psbid),
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color = (:gray, 0.5),
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)
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fig
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end
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# ╔═╡ 893253c3-f0b2-401f-b892-b23291bcf5c1
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# ╠═╡ disabled = true
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#=╠═╡
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fig_skew_stats = let
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fig, ax, sc = scatter(
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df_skew_stats.mean_skew,
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df_skew_stats.std_skew,
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marker = :x,
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color = (Makie.wong_colors()[1], 0.8),
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axis = (title = "skew mean vs std", xlabel = "mean", ylabel = "std"),
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)
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text!(
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ax,
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df_skew_stats.mean_skew,
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df_skew_stats.std_skew,
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text = string.(df_skew_stats.psbid),
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color = (:gray, 0.5),
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)
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fig
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end
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╠═╡ =#
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# ╔═╡ Cell order:
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# ╟─f25e7e08-8a73-4cac-ac7c-d310725c558d
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# ╠═7c69d12c-80a5-11ef-2674-e155a3483342
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@ -618,6 +746,7 @@ end
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# ╠═92c2ac3f-8034-4e9e-aadb-8bb166fbc948
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# ╠═893253c3-f0b2-401f-b892-b23291bcf5c1
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# ╠═6467dcaa-6bd6-45c7-8c08-b310a09b8b0b
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# ╠═19f85f1b-07d3-48c2-9ca6-a5a8eb1ab746
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# ╠═79e2f5d8-4609-4e9f-949e-6dc1f88c0b19
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# ╠═eae649db-6b2b-4530-83a8-3438f29423cc
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# ╠═d607e10e-854f-4652-9a34-9e22a188e315
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@ -637,5 +766,11 @@ end
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# ╠═07342d98-3889-4a19-8419-6d113fffb42e
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# ╠═939aba6b-b03c-42b6-83b3-9cea5f4eb858
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# ╠═aa9b78bc-8d66-4df2-bd06-1cbf21190488
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# ╠═86437ee6-ccea-43fa-bd93-d86fe055f28d
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# ╠═2a24c277-6679-49f3-b387-6937b7661a25
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# ╠═13b4112f-96ab-41a1-8ef1-d940771f6ece
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# ╠═6a856a55-2611-41d0-a2c7-3645c066fc3c
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# ╠═4a4ef945-b312-44ed-ab62-ce01fc33f926
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# ╠═13bb4978-b98d-44a3-a4b6-4241cadc609b
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# ╠═6c3c7669-d594-425d-bf05-9aa217c7656e
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# ╠═e9b3f541-d87d-4424-8b82-be1b7b3273d8
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