今年お世話になったプリントデバッグ手法2選

Y:\ghostpcl-9.50-win64>find "PCL" fx-docuprint-p360dw.prn

---------- FX-DOCUPRINT-P360DW.PRN
@PJL ENTER LANGUAGE=PCL

Y:\ghostpcl-9.50-win64>gpcl6win64.exe fx-docuprint-p360dw.prn
+ c:\users\cjl\artifex\gs-release\9.50\ghostpdl-9.50\pcl\pcl\rtgmode.c:564: set_compression_method(): unsupported mode 1030

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Y:\ghostpcl-9.50-win64>

Y:\ghostpcl-9.50-win64>find "PCL" lp3045*.prn

---------- LP3045DN-PCL5E.PRN
@PJL ENTER LANGUAGE = PCL

---------- LP3045DN-PCLXL.PRN
@PJL ENTER LANGUAGE=PCLXL
!R!SPSZ0,0;SIR2;EXIT;) HP-PCL XL;3;0;Comment Copyright(C) 2000 Kyocera Corporation

Y:\ghostpcl-9.50-win64>

# カレントディレクトリに unihan-etl をインストール
$ env PYTHONUSERBASE=. pip3 install --no-warn-script-location --quiet --user unihan-etl
# unihan-etl を使って Unihan データベースをダウンロード & JSON に変換
$ env PYTHONUSERBASE=. ./bin/unihan-etl -F json --destination ./unihan.json
# Elasticsearch の Bulk API 用のリクエストボディを組み立てる
$ jq -acr '.[] | { "index" : { "_index" : "unihan", "_id" : .ucn } }, .' < unihan.json > requests
$ docker run -d --rm -P --name elasticsearch-unihan -e discovery.type=single-node docker.elastic.co/elasticsearch/elasticsearch:7.5.0
$ docker port elasticsearch-unihan
9200/tcp -> 0.0.0.0:32773
9300/tcp -> 0.0.0.0:32772
# Elasticsearch の起動が落ち着いたら unihan インデックスにデータを投入
$ time curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:32773/_bulk --data-binary "@requests" | jq '.errors'
false
curl -s -H "Content-Type: application/x-ndjson" -XPOST localhost:32773/_bulk   0.03s user 0.16s system 0% cpu 25.620 total
jq '.errors'  0.71s user 0.09s system 3% cpu 25.810 total
# データが入ったかザックリ確認
$ curl -s localhost:32773/_stats/indexing | jq '.indices.unihan' | head
{
  "uuid": "8tNxpJu7TzOOTmXWNaBUiA",
  "primaries": {
    "indexing": {
      "index_total": 88889,
      "index_time_in_millis": 16084,
      "index_current": 0,
      "index_failed": 0,
      "delete_total": 0,
      "delete_time_in_millis": 0,
$

# 寜（U+5BDC）の異体字は？
$ curl -s localhost:32773/unihan/_doc/U+5BDC | jq '._source.kZVariant'
[
  "U+5BE7"
]
$ curl -s localhost:32773/unihan/_doc/U+5BE7 | jq '._source.char'
"寧"
# 赵（U+8D75）の繁体字は？
$ curl -s localhost:32773/unihan/_doc/U+8D75 | jq '._source.kTraditionalVariant'
[
  "U+8D99"
]
$ curl -s localhost:32773/unihan/_doc/U+8D99 | jq '._source.char'
"趙"
# 妵（U+59B5）の読み方は？
$ curl -s localhost:32773/unihan/_doc/U+59B5 | jq '._source.kMandarin'
{
  "zh-Hans": "tǒu",
  "zh-Hant": "tǒu"
}

# 「赵」の繁体字は？
$ time jq '.[] | select(.char=="\u8D75") | .kTraditionalVariant' < ./unihan.json
[
  "U+8D99"
]
jq '.[] | select(.char=="\u8D75") | .kTraditionalVariant' < ./unihan.json  5.66s user 0.56s system 98% cpu 6.329 total
# kTraditionalVariant だけに絞ったファイルを用意する
$ env PYTHONUSERBASE=. ./bin/unihan-etl -F json -f kTraditionalVariant --destination ./unihan-kTraditionalVariant.json
$ time jq '.[] | select(.char=="\u8D75") | .kTraditionalVariant' < unihan-kTraditionalVariant.json
[
  "U+8D99"
]
jq '.[] | select(.char=="\u8D75") | .kTraditionalVariant' <   0.05s user 0.00s system 91% cpu 0.058 total

$ env PYTHONUSERBASE=. pip3 install --no-warn-script-location --quiet --user cihai-cli
$ env PYTHONUSERBASE=. ./bin/cihai --version
cihai-cli 0.5.0, cihai 0.9.0post1, unihan-etl 0.10.3
$ time env PYTHONUSERBASE=. ./bin/cihai info -a 赵
char: 赵
kCangjie: GOK
kCantonese: ziu6
kDefinition: surname; ancient state
kFourCornerCode: '4480'
kFrequency: '3'
kMandarin: zhào
kRSKangXi: '156.2'
kRSUnicode: '156.2'
kTotalStrokes: '9'
kTraditionalVariant: U+8D99
kXHC1983: 1460.050:zhào
ucn: U+8D75
env PYTHONUSERBASE=. ./bin/cihai info -a 赵  0.27s user 0.03s system 97% cpu 0.311 total
$ echo -e '\u8D99'
趙