update: format pllld_count.jl

examples/pllld_count.jl

@@ -16,6 +16,7 @@ begin
     using FHist
     using LinearAlgebra
     using Printf
+	using PlutoUI
 end
 
 # ╔═╡ 3fccbdca-9856-4122-8597-9f267f90d390
@@ -24,8 +25,13 @@ md"""
 第6回 PS-Board QAQC キャンペーンの11_27のファームウェアを使った100回試験において、PLLLD fail countの数の分布の調査
 """
 
-# ╔═╡ b9808518-95aa-464f-bb93-b4ee40ce2f57
-PSBoardDataBase.SlaveLogParser.parse_slavelog_file
+# ╔═╡ 3e844f3d-0017-41ae-9632-ae0f7e2b03f7
+TableOfContents()
+
+# ╔═╡ 26954da1-0820-490d-aa3e-79fd3603d28a
+md"""
+# データベース読み込み
+"""
 
 # ╔═╡ a36886af-ff32-4f4f-a20f-f83bc333b8fd
 db = SQLite.DB("../psboard_qaqc.db")
@@ -46,6 +52,16 @@ qaqc_extra_run_campaign_6 = let
     filter(:runid => in(runids_campaign_6), qaqc_extra_run_results)
 end
 
+# ╔═╡ 0282181f-2607-43b6-8456-813c2636dabf
+md"""
+# 解析
+"""
+
+# ╔═╡ ecb09aa6-7f2e-4ef7-a081-348a219272e0
+md"""
+## PLLLD fail count
+"""
+
 # ╔═╡ 41da581f-0cdf-40f3-a1f8-bf1bd7f8835b
 map(eachrow(qaqc_extra_run_campaign_6)) do row
     logfilename = "$(row.psboard_id)_$(row.runid)_longrun.txt"
@@ -60,24 +76,6 @@ map(eachrow(qaqc_extra_run_campaign_6)) do row
     end
 end
 
-# ╔═╡ 2d89b7dc-37b6-4309-a2e6-61b93fb94628
-transform(
-    qaqc_extra_run_campaign_6,
-    [:psboard_id, :runid] =>
-        ByRow(
-            (psboard_id, runid) -> begin
-                logfilename = "$(psboard_id)_$(runid)_longrun.txt"
-                logfile = joinpath("../test/input/slavelogs/main/", logfilename)
-                !ispath(logfile) && return missing
-                slave_result =
-                    PSBoardDataBase.SlaveLogParser.parse_slavelog_file(logfile)
-                map(slave_result.asdtp) do asdtp_result
-                    asdtp_result.pllld_fail_counter
-                end
-            end,
-        ) => :pllld_count,
-)
-
 # ╔═╡ 34ae2948-bb5a-4086-beb1-cfb77593d678
 df_pllld_counts = combine(
     groupby(qaqc_extra_run_campaign_6, :id),
@@ -119,14 +117,6 @@ unique(df_pllld_counts.psboard_id) |> sort
 # ╔═╡ 0433bbe4-1f71-4cf7-96ec-ac9c70170feb
 stephist(df_pllld_counts.pllld_count)
 
-# ╔═╡ 4927e97b-0822-4f17-bae9-e43cad504c3b
-stephist(
-    df_pllld_counts.pllld_count,
-    bins = 0:10,
-    normalization = :probability,
-    axis = (; yscale = log10, limits = ((1, 11), (1e-6, 2))),
-)
-
 # ╔═╡ f04d5c95-7308-4129-ba95-49da2e142d5d
 let
     h1 = Hist1D(df_pllld_counts.pllld_count; binedges = 1:1:10, overflow = false)
@@ -167,18 +157,19 @@ end
 # ╔═╡ Cell order:
 # ╠═3fccbdca-9856-4122-8597-9f267f90d390
 # ╠═635dcf78-b6b3-11ef-3a04-f5b7c43ed12d
-# ╠═b9808518-95aa-464f-bb93-b4ee40ce2f57
+# ╠═3e844f3d-0017-41ae-9632-ae0f7e2b03f7
+# ╟─26954da1-0820-490d-aa3e-79fd3603d28a
 # ╠═a36886af-ff32-4f4f-a20f-f83bc333b8fd
 # ╠═df5087be-18de-4714-b6d8-4ab54271b1fb
 # ╠═56d8896a-40e3-46e3-aa28-82f89476743b
 # ╠═08032250-5893-445c-8662-459e5636ba81
 # ╠═013948ff-ccde-4222-862b-7ecda62fd7f1
+# ╟─0282181f-2607-43b6-8456-813c2636dabf
+# ╟─ecb09aa6-7f2e-4ef7-a081-348a219272e0
 # ╠═41da581f-0cdf-40f3-a1f8-bf1bd7f8835b
-# ╠═2d89b7dc-37b6-4309-a2e6-61b93fb94628
 # ╠═34ae2948-bb5a-4086-beb1-cfb77593d678
 # ╠═c084b8f4-dbc2-497b-9132-7e4bd4fd3874
 # ╠═6d85cc29-0d02-43b4-8a50-57f003e4686b
 # ╠═e95447c1-a8e2-4a46-9320-e1a88d9e34da
 # ╠═0433bbe4-1f71-4cf7-96ec-ac9c70170feb
-# ╠═4927e97b-0822-4f17-bae9-e43cad504c3b
 # ╠═f04d5c95-7308-4129-ba95-49da2e142d5d