feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
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import 'dart:convert';
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import 'dart:io';
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feat(curator): Tatoeba's sentences as examples in every new language
JMdict brings Tatoeba's sentences for Japanese; the other languages'
dictionaries had none (CC-CEDICT) or Wiktionary's own, often
quotations. Each file now takes Tatoeba's sentences of the week (its
per-language exports, CC BY 2.0 FR) as its entries' first examples,
which become a card's hints: each sentence with a translation into the
dictionary's meaning language goes to the entries its words find, cut
as the app cuts a line of subtitles (at spaces, Korean's particles off,
Chinese by its longest words), up to three for each, those using the
word as its headword writes it first (Haus rather than zu Hause; 学习
rather than 學習 in the simplified dictionary), then those nearest seven
words long. German's common words nearly all get some (8,849 of
9,292), in ten seconds and under 300 MB; a dictionary whose sentences
can't be had keeps its words. `curate tatoeba` does the same for a file
made by hand.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:49:34 +02:00
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import 'package:archive/archive.dart';
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feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
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import 'package:args/args.dart';
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feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
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import 'package:halkyon_learn_curator/src/sources/cedict.dart';
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
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import 'package:halkyon_learn_curator/src/sources/jlpt.dart';
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import 'package:halkyon_learn_curator/src/sources/jmdict.dart';
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2026-10-09 16:33:48 +02:00
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import 'package:halkyon_learn_curator/src/sources/jmdict_xml.dart';
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feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
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import 'package:halkyon_learn_curator/src/sources/kanjidic.dart';
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import 'package:halkyon_learn_curator/src/sources/kanjivg.dart';
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feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
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import 'package:halkyon_learn_curator/src/sources/krdict.dart';
|
feat(curator): Tatoeba's sentences as examples in every new language
JMdict brings Tatoeba's sentences for Japanese; the other languages'
dictionaries had none (CC-CEDICT) or Wiktionary's own, often
quotations. Each file now takes Tatoeba's sentences of the week (its
per-language exports, CC BY 2.0 FR) as its entries' first examples,
which become a card's hints: each sentence with a translation into the
dictionary's meaning language goes to the entries its words find, cut
as the app cuts a line of subtitles (at spaces, Korean's particles off,
Chinese by its longest words), up to three for each, those using the
word as its headword writes it first (Haus rather than zu Hause; 学习
rather than 學習 in the simplified dictionary), then those nearest seven
words long. German's common words nearly all get some (8,849 of
9,292), in ten seconds and under 300 MB; a dictionary whose sentences
can't be had keeps its words. `curate tatoeba` does the same for a file
made by hand.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:49:34 +02:00
|
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import 'package:halkyon_learn_curator/src/sources/tatoeba.dart';
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
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import 'package:halkyon_learn_curator/src/sources/unihan.dart';
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feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
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import 'package:halkyon_learn_curator/src/sources/wiktionary.dart';
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
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import 'package:halkyon_learn_curator/src/update.dart';
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
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import 'package:halkyon_learn_curator/src/wordfreq.dart';
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
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/// Turns a dictionary download into a dictionary file for the server's
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
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/// `dictionaries` folder, or KanjiVG into the app's stroke files
|
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/// (README.md):
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
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///
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/// dart run halkyon_learn_curator:curate jmdict \
|
2026-10-09 16:33:48 +02:00
|
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/// --input JMdict_e_examp.gz --jlpt original_data \
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
/// --output jmdict-en.jsonl.gz
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
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/// dart run halkyon_learn_curator:curate kanjidic \
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/// --input kanjidic2.xml.gz --jlpt kanji.json \
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/// --output kanjidic-en.jsonl.gz
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/// dart run halkyon_learn_curator:curate kanjivg \
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/// --input kanjivg-20260714.xml.gz \
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/// --output ../halkyon_learn_flutter/assets/kanjivg
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
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///
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feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
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/// Wiktionary, as kaikki.org's dump of it, into dictionary files of the
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/// languages named (German and Greek with English meanings, English with
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/// German ones):
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///
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/// dart run halkyon_learn_curator:curate wiktionary \
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/// --input raw-wiktextract-data.jsonl.gz --languages de,el,en \
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/// --output ../halkyon_learn_server/dictionaries
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///
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
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/// CC-CEDICT into its two dictionary files, simplified and traditional:
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///
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/// dart run halkyon_learn_curator:curate cedict \
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/// --input cedict_1_0_ts_utf-8_mdbg.txt.gz \
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/// --output ../halkyon_learn_server/dictionaries
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///
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feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
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/// Unihan into dictionary files of Chinese characters (simplified and
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/// traditional) and of Korean Hanja, for the languages named, the Hanja's
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/// native readings from a Wiktionary update's `.wiktionary-ko.json.gz`:
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///
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/// dart run halkyon_learn_curator:curate unihan \
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/// --input Unihan.zip --languages ko,zh [--cedict <file>] \
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/// [--korean <file>] \
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/// --output ../halkyon_learn_server/dictionaries
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///
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/// KRDict's JSON export into the dictionary file of Korean words, with
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/// the forms of each a Wiktionary update kept (`.wiktionary-ko.json.gz`):
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///
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/// dart run halkyon_learn_curator:curate krdict \
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/// --input krdict_json_20260919.zip [--korean <file>] \
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/// --output ../halkyon_learn_server/dictionaries
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///
|
feat(curator): Tatoeba's sentences as examples in every new language
JMdict brings Tatoeba's sentences for Japanese; the other languages'
dictionaries had none (CC-CEDICT) or Wiktionary's own, often
quotations. Each file now takes Tatoeba's sentences of the week (its
per-language exports, CC BY 2.0 FR) as its entries' first examples,
which become a card's hints: each sentence with a translation into the
dictionary's meaning language goes to the entries its words find, cut
as the app cuts a line of subtitles (at spaces, Korean's particles off,
Chinese by its longest words), up to three for each, those using the
word as its headword writes it first (Haus rather than zu Hause; 学习
rather than 學習 in the simplified dictionary), then those nearest seven
words long. German's common words nearly all get some (8,849 of
9,292), in ten seconds and under 300 MB; a dictionary whose sentences
can't be had keeps its words. `curate tatoeba` does the same for a file
made by hand.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:49:34 +02:00
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/// Tatoeba's sentences as examples into a dictionary file of words (its
|
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/// exports of the dictionary's language, of its meaning language, and of
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/// the links between them, bzip2 or not):
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///
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/// dart run halkyon_learn_curator:curate tatoeba \
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/// --input wiktionary-de-en.jsonl.gz --sentences deu_sentences.tsv.bz2 \
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/// --translations eng_sentences.tsv.bz2 --links deu-eng_links.tsv.bz2 \
|
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/// --output wiktionary-de-en.jsonl.gz
|
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|
///
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
/// Or brings a server's dictionaries up to date from EDRDG's files of the
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
/// day and, for the languages named, Wiktionary's latest dump and MDBG's
|
|
|
|
|
/// CC-CEDICT of the day (Chinese), once or every so many days:
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
///
|
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|
|
/// dart run halkyon_learn_curator:curate update \
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
/// --into ../halkyon_learn_server/dictionaries [--every 7] \
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
/// [--languages de,el,en,zh]
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
Future<void> main(List<String> args) async {
|
|
|
|
|
final parser = ArgParser()
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
..addOption(
|
|
|
|
|
'input',
|
|
|
|
|
abbr: 'i',
|
|
|
|
|
help: 'The source file, unpacked or gzipped (.gz).',
|
|
|
|
|
)
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
..addOption(
|
|
|
|
|
'jlpt',
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
help:
|
|
|
|
|
"jmdict: yomitan-jlpt-vocab's original_data folder (n1.csv … "
|
|
|
|
|
"n5.csv); kanjidic: kanji-data's kanji.json.",
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
)
|
2026-10-09 13:36:16 +02:00
|
|
|
..addFlag(
|
|
|
|
|
'examples',
|
|
|
|
|
help:
|
2026-10-09 16:33:48 +02:00
|
|
|
"The input is JMdict's examples edition (EDRDG's "
|
|
|
|
|
"JMdict_e_examp.gz, jmdict-simplified's jmdict-examples-eng-*.json): "
|
|
|
|
|
'credit Tatoeba for its sentences. On by default for a file named '
|
|
|
|
|
'so.',
|
2026-10-09 13:36:16 +02:00
|
|
|
defaultsTo: null,
|
|
|
|
|
)
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
..addOption(
|
|
|
|
|
'output',
|
|
|
|
|
abbr: 'o',
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
help:
|
|
|
|
|
'The dictionary file to write, gzipped when it ends in .gz; for '
|
|
|
|
|
'kanjivg the folder to write the stroke files into.',
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
)
|
|
|
|
|
..addOption('into', help: 'update: the folder of the dictionary files.')
|
|
|
|
|
..addOption(
|
|
|
|
|
'data',
|
|
|
|
|
help: "update: the curator's data folder (the JLPT lists).",
|
|
|
|
|
defaultsTo: 'data',
|
|
|
|
|
)
|
|
|
|
|
..addOption(
|
|
|
|
|
'every',
|
|
|
|
|
help:
|
|
|
|
|
'update: keep running, and update once the files are this many '
|
|
|
|
|
'days old.',
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
)
|
|
|
|
|
..addOption(
|
|
|
|
|
'languages',
|
|
|
|
|
help:
|
|
|
|
|
'wiktionary: the languages to write dictionaries of, by their '
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
'BCP 47 tags (de,el,en); update: the languages besides Japanese '
|
|
|
|
|
'to keep current (de,el,en,zh; Chinese from CC-CEDICT, the rest '
|
|
|
|
|
"from Wiktionary's dump), none without.",
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
)
|
feat(curator): Tatoeba's sentences as examples in every new language
JMdict brings Tatoeba's sentences for Japanese; the other languages'
dictionaries had none (CC-CEDICT) or Wiktionary's own, often
quotations. Each file now takes Tatoeba's sentences of the week (its
per-language exports, CC BY 2.0 FR) as its entries' first examples,
which become a card's hints: each sentence with a translation into the
dictionary's meaning language goes to the entries its words find, cut
as the app cuts a line of subtitles (at spaces, Korean's particles off,
Chinese by its longest words), up to three for each, those using the
word as its headword writes it first (Haus rather than zu Hause; 学习
rather than 學習 in the simplified dictionary), then those nearest seven
words long. German's common words nearly all get some (8,849 of
9,292), in ten seconds and under 300 MB; a dictionary whose sentences
can't be had keeps its words. `curate tatoeba` does the same for a file
made by hand.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:49:34 +02:00
|
|
|
..addOption(
|
|
|
|
|
'sentences',
|
|
|
|
|
help: "tatoeba: Tatoeba's sentences in the dictionary's language.",
|
|
|
|
|
)
|
|
|
|
|
..addOption(
|
|
|
|
|
'translations',
|
|
|
|
|
help: "tatoeba: Tatoeba's sentences in the meaning language.",
|
|
|
|
|
)
|
|
|
|
|
..addOption(
|
|
|
|
|
'links',
|
|
|
|
|
help: "tatoeba: Tatoeba's links between the two languages.",
|
|
|
|
|
)
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
..addOption(
|
|
|
|
|
'cedict',
|
|
|
|
|
help:
|
|
|
|
|
'unihan: CC-CEDICT, whose words tell traditional characters in use '
|
|
|
|
|
'and rank the characters.',
|
|
|
|
|
)
|
|
|
|
|
..addOption(
|
|
|
|
|
'korean',
|
|
|
|
|
help:
|
|
|
|
|
'unihan, krdict: what a Wiktionary update kept for Korean '
|
|
|
|
|
"(.wiktionary-ko.json.gz: the Hanja's native readings, the "
|
|
|
|
|
"words' forms).",
|
|
|
|
|
)
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
..addOption(
|
|
|
|
|
'version',
|
|
|
|
|
help:
|
|
|
|
|
"wiktionary: the dump's date (2026-10-03); the input file's date "
|
|
|
|
|
'without.',
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
);
|
|
|
|
|
final ArgResults options;
|
|
|
|
|
try {
|
|
|
|
|
options = parser.parse(args);
|
|
|
|
|
} on FormatException catch (error) {
|
|
|
|
|
_fail('${error.message}\n${parser.usage}');
|
|
|
|
|
}
|
|
|
|
|
final [source, ...] = options.rest.isEmpty ? [''] : options.rest;
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
if (source == 'update') {
|
|
|
|
|
final into = options.option('into');
|
|
|
|
|
final every = options.option('every');
|
|
|
|
|
final days = every == null ? null : int.tryParse(every);
|
|
|
|
|
if (into == null || (every != null && (days == null || days < 1))) {
|
|
|
|
|
_fail(
|
|
|
|
|
'Usage: curate update --into <folder> [--data <folder>] '
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
'[--every <days>] [--languages <languages>]\n${parser.usage}',
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
await _update(
|
|
|
|
|
Directory(into),
|
|
|
|
|
Directory(options.option('data')!),
|
|
|
|
|
days,
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
languages: _languages(options.option('languages')),
|
|
|
|
|
);
|
|
|
|
|
return;
|
|
|
|
|
}
|
feat(curator): Tatoeba's sentences as examples in every new language
JMdict brings Tatoeba's sentences for Japanese; the other languages'
dictionaries had none (CC-CEDICT) or Wiktionary's own, often
quotations. Each file now takes Tatoeba's sentences of the week (its
per-language exports, CC BY 2.0 FR) as its entries' first examples,
which become a card's hints: each sentence with a translation into the
dictionary's meaning language goes to the entries its words find, cut
as the app cuts a line of subtitles (at spaces, Korean's particles off,
Chinese by its longest words), up to three for each, those using the
word as its headword writes it first (Haus rather than zu Hause; 学习
rather than 學習 in the simplified dictionary), then those nearest seven
words long. German's common words nearly all get some (8,849 of
9,292), in ten seconds and under 300 MB; a dictionary whose sentences
can't be had keeps its words. `curate tatoeba` does the same for a file
made by hand.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:49:34 +02:00
|
|
|
if (source == 'tatoeba') {
|
|
|
|
|
final input = options.option('input');
|
|
|
|
|
final output = options.option('output');
|
|
|
|
|
final files = [
|
|
|
|
|
for (final name in ['sentences', 'translations', 'links'])
|
|
|
|
|
options.option(name),
|
|
|
|
|
];
|
|
|
|
|
if (input == null || output == null || files.contains(null)) {
|
|
|
|
|
_fail(
|
|
|
|
|
'Usage: curate tatoeba --input <dictionary> --sentences <file> '
|
|
|
|
|
'--translations <file> --links <file> --output <dictionary>'
|
|
|
|
|
'\n${parser.usage}',
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
Stream<String> lines(String path) {
|
|
|
|
|
final bytes = path.endsWith('.bz2')
|
|
|
|
|
? Stream.value(
|
|
|
|
|
BZip2Decoder().decodeBytes(File(path).readAsBytesSync()),
|
|
|
|
|
)
|
|
|
|
|
: File(path).openRead();
|
|
|
|
|
return bytes.transform(utf8.decoder).transform(const LineSplitter());
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
final links = await readTatoebaLinks(lines(files[2]!));
|
|
|
|
|
final sentences = await readTatoebaSentences(
|
|
|
|
|
lines(files[0]!),
|
|
|
|
|
wanted: links.containsKey,
|
|
|
|
|
);
|
|
|
|
|
final linked = {for (final ids in links.values) ...ids};
|
|
|
|
|
final translations = await readTatoebaSentences(
|
|
|
|
|
lines(files[1]!),
|
|
|
|
|
wanted: linked.contains,
|
|
|
|
|
);
|
|
|
|
|
final written = File('$output.part');
|
|
|
|
|
final bytes = withTatoebaExamples(
|
|
|
|
|
File(input),
|
|
|
|
|
sentences: sentences,
|
|
|
|
|
translations: translations,
|
|
|
|
|
links: links,
|
|
|
|
|
).transform(utf8.encoder);
|
|
|
|
|
await (output.endsWith('.gz') ? bytes.transform(gzip.encoder) : bytes).pipe(
|
|
|
|
|
written.openWrite(),
|
|
|
|
|
);
|
|
|
|
|
await written.rename(output);
|
|
|
|
|
stdout.writeln(
|
|
|
|
|
'Wrote $output with ${sentences.length} sentences of Tatoeba to '
|
|
|
|
|
'choose from.',
|
|
|
|
|
);
|
|
|
|
|
return;
|
|
|
|
|
}
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
if (source == 'cedict') {
|
|
|
|
|
final input = options.option('input');
|
|
|
|
|
final output = options.option('output');
|
|
|
|
|
if (input == null || output == null) {
|
|
|
|
|
_fail(
|
|
|
|
|
'Usage: curate cedict --input <file> --output <folder> '
|
|
|
|
|
'[--data <folder>]\n${parser.usage}',
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
final read = File(input).openRead();
|
|
|
|
|
final text =
|
|
|
|
|
await (input.endsWith('.gz') ? read.transform(gzip.decoder) : read)
|
|
|
|
|
.transform(utf8.decoder)
|
|
|
|
|
.join();
|
|
|
|
|
final data = options.option('data')!;
|
|
|
|
|
final hsk = await readHskLevels(hskFile(Directory(data)));
|
|
|
|
|
final frequencies = File('$data/wordfreq/small_zh.msgpack.gz');
|
|
|
|
|
final words = frequencies.existsSync()
|
|
|
|
|
? await WordFrequencies.read(frequencies)
|
|
|
|
|
: WordFrequencies.none;
|
|
|
|
|
final folder = await Directory(output).create(recursive: true);
|
|
|
|
|
for (final traditional in [false, true]) {
|
|
|
|
|
await Stream.fromIterable(
|
|
|
|
|
cedictDictionary(
|
|
|
|
|
text,
|
|
|
|
|
traditional: traditional,
|
|
|
|
|
hsk: hsk,
|
|
|
|
|
frequencies: words,
|
|
|
|
|
),
|
|
|
|
|
)
|
|
|
|
|
.transform(utf8.encoder)
|
|
|
|
|
.transform(gzip.encoder)
|
|
|
|
|
.pipe(
|
|
|
|
|
File('${folder.path}/${cedictFileName(traditional: traditional)}')
|
|
|
|
|
.openWrite(),
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
stdout.writeln(
|
|
|
|
|
'Wrote ${cedictFileName(traditional: false)} and '
|
|
|
|
|
'${cedictFileName(traditional: true)} to $output.',
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
);
|
|
|
|
|
return;
|
|
|
|
|
}
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
if (source == 'krdict') {
|
|
|
|
|
final input = options.option('input');
|
|
|
|
|
final output = options.option('output');
|
|
|
|
|
if (input == null || output == null) {
|
|
|
|
|
_fail(
|
|
|
|
|
'Usage: curate krdict --input <zip> --output <folder> '
|
|
|
|
|
'[--korean <file>] [--data <folder>]\n${parser.usage}',
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
final korean = options.option('korean');
|
|
|
|
|
final frequencies = File(
|
|
|
|
|
'${options.option('data')}/wordfreq/small_ko.msgpack.gz',
|
|
|
|
|
);
|
|
|
|
|
final folder = await Directory(output).create(recursive: true);
|
|
|
|
|
final (:version, :entries) = krdictExport(await File(input).readAsBytes());
|
|
|
|
|
await krdictDictionary(
|
|
|
|
|
entries,
|
|
|
|
|
sourceVersion: version,
|
|
|
|
|
frequencies: frequencies.existsSync()
|
|
|
|
|
? await WordFrequencies.read(frequencies)
|
|
|
|
|
: null,
|
|
|
|
|
korean: korean == null
|
|
|
|
|
? null
|
|
|
|
|
: WiktionaryKorean.fromJson(
|
|
|
|
|
utf8.decode(gzip.decode(await File(korean).readAsBytes())),
|
|
|
|
|
),
|
|
|
|
|
)
|
|
|
|
|
.transform(utf8.encoder)
|
|
|
|
|
.transform(gzip.encoder)
|
|
|
|
|
.pipe(File('${folder.path}/$krdictFileName').openWrite());
|
|
|
|
|
stdout.writeln('Wrote $krdictFileName to $output.');
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
if (source == 'unihan') {
|
|
|
|
|
final input = options.option('input');
|
|
|
|
|
final output = options.option('output');
|
|
|
|
|
final languages = _languages(options.option('languages'));
|
|
|
|
|
if (input == null || output == null || languages.isEmpty) {
|
|
|
|
|
_fail(
|
|
|
|
|
'Usage: curate unihan --input <Unihan.zip> --languages <languages> '
|
|
|
|
|
'--output <folder> [--cedict <file>] [--korean <file>] '
|
|
|
|
|
'[--data <folder>]'
|
|
|
|
|
'\n${parser.usage}',
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
final korean = options.option('korean');
|
|
|
|
|
final cedict = options.option('cedict');
|
|
|
|
|
final written = await unihanDictionaries(
|
|
|
|
|
await File(input).readAsBytes(),
|
|
|
|
|
into: await Directory(output).create(recursive: true),
|
|
|
|
|
languages: languages,
|
|
|
|
|
data: Directory(options.option('data')!),
|
|
|
|
|
cedict: cedict == null
|
|
|
|
|
? null
|
|
|
|
|
: await (cedict.endsWith('.gz')
|
|
|
|
|
? File(cedict).openRead().transform(gzip.decoder)
|
|
|
|
|
: File(cedict).openRead())
|
|
|
|
|
.transform(utf8.decoder)
|
|
|
|
|
.join(),
|
|
|
|
|
eumhun: korean == null
|
|
|
|
|
? const {}
|
|
|
|
|
: WiktionaryKorean.fromJson(
|
|
|
|
|
utf8.decode(gzip.decode(await File(korean).readAsBytes())),
|
|
|
|
|
).hanja,
|
|
|
|
|
);
|
|
|
|
|
stdout.writeln(
|
|
|
|
|
'Wrote ${[for (final file in written) file.uri.pathSegments.last].join(', ')} '
|
|
|
|
|
'to $output.',
|
|
|
|
|
);
|
|
|
|
|
return;
|
|
|
|
|
}
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
if (source == 'wiktionary') {
|
|
|
|
|
final input = options.option('input');
|
|
|
|
|
final output = options.option('output');
|
|
|
|
|
final languages = _languages(options.option('languages'));
|
|
|
|
|
if (input == null || output == null || languages.isEmpty) {
|
|
|
|
|
_fail(
|
|
|
|
|
'Usage: curate wiktionary --input <file> --languages <languages> '
|
|
|
|
|
'--output <folder> [--version <date>] [--data <folder>]'
|
|
|
|
|
'\n${parser.usage}',
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
);
|
|
|
|
|
}
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
final read = File(input).openRead();
|
|
|
|
|
final outputs = wiktionaryOutputs(languages);
|
|
|
|
|
final data = options.option('data')!;
|
|
|
|
|
final written = await wiktionaryDictionaries(
|
|
|
|
|
(input.endsWith('.gz') ? read.transform(gzip.decoder) : read)
|
|
|
|
|
.transform(utf8.decoder)
|
|
|
|
|
.transform(const LineSplitter()),
|
|
|
|
|
into: Directory(output),
|
|
|
|
|
sourceVersion:
|
|
|
|
|
options.option('version') ??
|
|
|
|
|
File(input).lastModifiedSync().toIso8601String().substring(0, 10),
|
|
|
|
|
languages: outputs.languages,
|
|
|
|
|
translatedInto: outputs.translatedInto,
|
|
|
|
|
frequencies: {
|
|
|
|
|
for (final language in {...languages, 'en'})
|
|
|
|
|
if (File('$data/wordfreq/small_$language.msgpack.gz') case final file
|
|
|
|
|
when file.existsSync())
|
|
|
|
|
language: await WordFrequencies.read(file),
|
|
|
|
|
},
|
|
|
|
|
);
|
|
|
|
|
stdout.writeln(
|
|
|
|
|
'Wrote ${[for (final file in written) file.uri.pathSegments.last].join(', ')} '
|
|
|
|
|
'to $output.',
|
|
|
|
|
);
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
return;
|
|
|
|
|
}
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
final input = options.option('input');
|
|
|
|
|
final output = options.option('output');
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
if (!['jmdict', 'kanjidic', 'kanjivg'].contains(source) ||
|
|
|
|
|
input == null ||
|
|
|
|
|
output == null) {
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
_fail(
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
'Usage: curate jmdict|kanjidic|kanjivg --input <file> [--jlpt <path>] '
|
|
|
|
|
'--output <path>\n${parser.usage}',
|
|
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
final read = File(input).openRead();
|
|
|
|
|
final text = (input.endsWith('.gz') ? read.transform(gzip.decoder) : read)
|
|
|
|
|
.transform(utf8.decoder);
|
|
|
|
|
final jlptPath = options.option('jlpt');
|
|
|
|
|
|
|
|
|
|
if (source == 'kanjivg') {
|
|
|
|
|
final strokes = kanjivgStrokes(await text.join());
|
|
|
|
|
final folder = await Directory(output).create(recursive: true);
|
|
|
|
|
final files = strokeFiles(strokes);
|
|
|
|
|
for (final MapEntry(key: name, value: characters) in files.entries) {
|
|
|
|
|
await File('${folder.path}/$name.json.gz')
|
|
|
|
|
.writeAsBytes(gzip.encode(utf8.encode(jsonEncode(characters))));
|
|
|
|
|
}
|
|
|
|
|
stdout.writeln(
|
|
|
|
|
'Wrote the strokes of ${strokes.length} characters to '
|
|
|
|
|
'${files.length} files in $output.',
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
);
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
return;
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
}
|
|
|
|
|
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
final Stream<String> lines;
|
|
|
|
|
final int withLevel;
|
|
|
|
|
if (source == 'kanjidic') {
|
|
|
|
|
final jlpt = jlptPath == null
|
|
|
|
|
? const <String, int>{}
|
|
|
|
|
: await readKanjiJlpt(File(jlptPath));
|
|
|
|
|
lines = Stream.fromIterable(
|
|
|
|
|
kanjidicDictionary(await text.join(), jlpt: jlpt),
|
|
|
|
|
);
|
|
|
|
|
withLevel = jlpt.length;
|
|
|
|
|
} else {
|
|
|
|
|
final jlpt = jlptPath == null
|
|
|
|
|
? const <String, JlptLevel>{}
|
|
|
|
|
: await readJlptLevels(Directory(jlptPath));
|
2026-10-09 16:33:48 +02:00
|
|
|
final name = File(input).uri.pathSegments.last;
|
|
|
|
|
final examples = options.wasParsed('examples')
|
|
|
|
|
? options.flag('examples')
|
|
|
|
|
: name.contains('examp');
|
|
|
|
|
// jmdict-simplified's JSON (`jmdict-eng-….json`), else EDRDG's XML.
|
|
|
|
|
lines = name.contains('.json')
|
|
|
|
|
? jmdictDictionary(text, jlpt: jlpt, examples: examples)
|
|
|
|
|
: jmdictXmlDictionary(text, jlpt: jlpt, examples: examples);
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
withLevel = jlpt.length;
|
|
|
|
|
}
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
var entries = -1;
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
final bytes = lines
|
|
|
|
|
.map((line) {
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
entries++;
|
|
|
|
|
return line;
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
})
|
|
|
|
|
.transform(utf8.encoder);
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
await (output.endsWith('.gz') ? bytes.transform(gzip.encoder) : bytes).pipe(
|
|
|
|
|
File(output).openWrite(),
|
|
|
|
|
);
|
|
|
|
|
stdout.writeln(
|
|
|
|
|
'Wrote $entries entries to $output'
|
feat(curator): KANJIDIC2 and the kana as a dictionary of characters; KanjiVG's strokes for the app
A dictionary file now says whether it holds words or characters (`kind`).
The kanjidic adapter turns KANJIDIC2 into one entry per kanji that has a
Japanese reading or an English meaning (12,633), with its readings,
meanings, school grade, strokes, frequency and JLPT level (Jonathan
Waller's, through kanji-data's kanji.json), labelled `jlpt:nX`,
`grade:N`/`grade:secondary`, followed by the 71 hiragana and katakana of
the kana table with their romaji. A kun reading is found whole; its kanji
part only as a loose key, so typing "ta" brings た before every kanji read
so.
`curate kanjivg` writes KanjiVG's strokes and components as the app's
stroke files, one gzipped JSON file per 256 code points, keyed by the code
point in each entry's id (KanjiVG's 橅 names itself 機).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 14:37:22 +02:00
|
|
|
'${withLevel == 0 ? '' : ' ($withLevel with a JLPT level)'}.',
|
feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
|
|
);
|
|
|
|
|
}
|
|
|
|
|
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
/// Updates the dictionaries in [into]; with [every], keeps running and
|
|
|
|
|
/// updates them whenever they are that many days old (as the files' dates
|
|
|
|
|
/// say, so a restart doesn't download them again), trying again after six
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
/// hours when an update fails. Of [languages], Chinese comes from
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
/// CC-CEDICT as often as EDRDG's files, and its characters from Unihan;
|
|
|
|
|
/// Korean from KRDict, looked at each time it wakes and converted again
|
|
|
|
|
/// only when it offers another export, and its Hanja from Unihan; the rest
|
|
|
|
|
/// from Wiktionary, looked at each time it wakes and converted again only
|
|
|
|
|
/// when the dump is newer (Korean's forms and the Hanja's readings come
|
|
|
|
|
/// from it too); Greek's alphabet with the characters. Files of languages
|
|
|
|
|
/// no longer kept go.
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
Future<void> _update(
|
|
|
|
|
Directory into,
|
|
|
|
|
Directory data,
|
|
|
|
|
int? every, {
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
Set<String> languages = const {},
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
}) async {
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
final (:wiktionary, :chinese, :korean, :greek) = dictionarySources(languages);
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
void say(String message) =>
|
|
|
|
|
stdout.writeln('${DateTime.now().toUtc().toIso8601String()} $message');
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
void written(List<File> files) {
|
|
|
|
|
if (files.isNotEmpty) {
|
|
|
|
|
say(
|
|
|
|
|
'Updated ${[for (final file in files) file.uri.pathSegments.last].join(', ')}.',
|
|
|
|
|
);
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
/// Runs [step], saying what it wrote; false when it failed.
|
|
|
|
|
Future<bool> attempt(String name, Future<List<File>> Function() step) async {
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
try {
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
written(await step());
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
return true;
|
|
|
|
|
} on Object catch (error) {
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
say('Updating $name failed: $error');
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
return false;
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
Future<bool> once() => attempt(
|
|
|
|
|
'the dictionaries',
|
|
|
|
|
() => updateDictionaries(into: into, data: data),
|
|
|
|
|
);
|
|
|
|
|
|
|
|
|
|
// Files as old as EDRDG's may be: CC-CEDICT's, and the characters'.
|
|
|
|
|
bool due(DateTime? updated) =>
|
|
|
|
|
updated == null ||
|
|
|
|
|
DateTime.now().difference(updated) >= Duration(days: every ?? 1);
|
|
|
|
|
Future<bool> chineseOnce() async =>
|
|
|
|
|
!chinese ||
|
|
|
|
|
!due(cedictUpdated(into)) ||
|
|
|
|
|
await attempt('CC-CEDICT', () => updateCedict(into: into, data: data));
|
|
|
|
|
Future<bool> wiktionaryOnce() => attempt(
|
|
|
|
|
'Wiktionary',
|
|
|
|
|
() => updateWiktionary(
|
|
|
|
|
into: into,
|
|
|
|
|
data: data,
|
|
|
|
|
languages: wiktionary,
|
|
|
|
|
korean: korean,
|
|
|
|
|
),
|
|
|
|
|
);
|
|
|
|
|
Future<bool> koreanOnce() async =>
|
|
|
|
|
!korean ||
|
|
|
|
|
await attempt('KRDict', () => updateKrdict(into: into, data: data));
|
|
|
|
|
Future<bool> charactersOnce() async =>
|
|
|
|
|
!due(
|
|
|
|
|
charactersUpdated(into, chinese: chinese, korean: korean, greek: greek),
|
|
|
|
|
) ||
|
|
|
|
|
await attempt(
|
|
|
|
|
'the characters',
|
|
|
|
|
() => updateCharacters(
|
|
|
|
|
into: into,
|
|
|
|
|
data: data,
|
|
|
|
|
chinese: chinese,
|
|
|
|
|
korean: korean,
|
|
|
|
|
greek: greek,
|
|
|
|
|
),
|
|
|
|
|
);
|
|
|
|
|
// In this order: Korean's words and Hanja take what Wiktionary kept.
|
|
|
|
|
Future<bool> languagesOnce() async {
|
|
|
|
|
final removed = removeUnwanted(into, languages);
|
|
|
|
|
if (removed.isNotEmpty) {
|
|
|
|
|
say(
|
|
|
|
|
'Removed ${[for (final file in removed) file.uri.pathSegments.last].join(', ')}.',
|
|
|
|
|
);
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
}
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
return !(!await chineseOnce() |
|
|
|
|
|
!await wiktionaryOnce() |
|
|
|
|
|
!await koreanOnce() |
|
|
|
|
|
!await charactersOnce());
|
feat(curator): Chinese from CC-CEDICT, with the HSK levels of 2025
Chinese comes from CC-CEDICT (CC BY-SA 4.0), made for learners of
Chinese: `curate cedict` writes two dictionaries of its entries,
`cc-cedict-hans-en` (zh-Hans) and `cc-cedict-hant-en` (zh-Hant), so a
studyset finds its words as it writes them, each finding a word by
either script, by pinyin with or without tones and by its meanings.
Readings are pinyin with tone marks, a syllable to a character; measure
words are a remark beside the meanings.
The HSK levels are those of the 2025 examination syllabus, which HSK
3.0's examination follows since July 2026 (decided 2026-10-14: level
tags, credited), as hsk30 extracted them (MIT): `hsk:1` … `hsk:6`, and
`hsk:7` for 7 to 9, each given to the entry read as the syllabus reads
the word (的 de, not 的 dì; 书 shū, not the Book of Documents, Shū),
ranking the words, HSK 1 first.
`curate update --languages de,el,en,zh` takes over from `--wiktionary`:
Chinese from MDBG's file of the day as often as EDRDG's files, the rest
from Wiktionary's dump.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:27:02 +02:00
|
|
|
}
|
|
|
|
|
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
if (every == null) {
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
if (!await once() || !await languagesOnce()) {
|
feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
|
|
|
exit(1);
|
|
|
|
|
}
|
|
|
|
|
return;
|
|
|
|
|
}
|
|
|
|
|
for (;;) {
|
|
|
|
|
final due = lastUpdated(into)?.add(Duration(days: every));
|
|
|
|
|
final now = DateTime.now();
|
|
|
|
|
if (due == null || !now.isBefore(due)) {
|
|
|
|
|
if (!await once()) {
|
|
|
|
|
await Future<void>.delayed(const Duration(hours: 6));
|
|
|
|
|
}
|
|
|
|
|
continue;
|
|
|
|
|
}
|
feat(curator): characters of Chinese and Korean, the Greek alphabet, Korean words from KRDict
For parity with Japanese's KANJIDIC2 and kana:
- Unihan (Unicode License v3) makes characters' dictionaries: the 8,105
standard simplified characters (unihan-hans) and the traditional ones in
use (unihan-hant), told apart and ranked by CC-CEDICT's words (Unihan
calls 这 its own traditional variant; 後 ranks as the 后 of 以后), with
pinyin, meanings, strokes, Kangxi radical, HSK 2025 character levels,
the 3,500 common ones and Hong Kong's grades; and Korean Hanja
(unihan-ko) with their sounds, the 1,800 of education, and their native
readings from Wiktionary (물 수), with the 40 Hangul letters as kana are.
- The Greek alphabet, the curator's own (CC0): letters with names,
transliteration and sound.
- KRDict, the Basic Korean Dictionary for learners (CC BY-SA 2.0 KR,
downloaded without an account), replaces Wiktionary for Korean's words:
learners' levels, pronunciation where it differs from the spelling
(같이 [가치]), Hanja, English senses; Wiktionary's update keeps the
words' forms (가다's 99) and the Hanja's readings beside it for both.
- The update converts KRDict when its page offers another export and the
characters weekly, and removes the files of languages no longer kept
or of sources replaced.
Measured on the real data: Unihan 3 s; KRDict 54,870 entries in 24 s
and under 600 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 12:08:10 +02:00
|
|
|
final retry = !await languagesOnce();
|
feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
|
|
|
final next = retry && due.difference(now) > const Duration(hours: 6)
|
|
|
|
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? DateTime.now().add(const Duration(hours: 6))
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: due;
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say('Up to date; the next look ${next.toUtc().toIso8601String()}.');
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await Future<void>.delayed(next.difference(DateTime.now()));
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feat(curator): curate update keeps a server's dictionaries current
EDRDG's licence asks of servers showing its dictionaries that they update
them at least monthly. `curate update --into <folder>` downloads EDRDG's
files of the day (JMdict with Tatoeba's sentences, KANJIDIC2), converts
them with the JLPT levels the curator now brings along (yomitan-jlpt-vocab's
lists, CC BY-SA 4.0, and the kanji levels of kanji-data's kanji.json: both
static, in data/ with their origin), and puts each file in place at once
(written beside it as .part, then renamed over it), so the server never
reads half a file; a failure leaves the files as they were. With --every 7
it keeps running and updates whenever the files are a week old, as their
dates say, so a restart doesn't download again; after a failure it tries
again in six hours. A real update takes some 50 seconds and 400 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 16:40:19 +02:00
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}
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}
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feat(curator): dictionaries of German, Greek and English from Wiktionary
The languages besides Japanese come from the English Wiktionary as
Wiktextract reads it (decided 2026-10-14: German, Greek and English
first, then Chinese, then Korean): kaikki.org's raw dump, every language
in one file, as its per-language files are being withdrawn.
`curate wiktionary --languages de,el,en` reads it once, streamed, and
writes German and Greek with Wiktionary's English meanings and English
with what its translation tables give in German, the app's other
language (`wiktionary-de-en`, `-el-en`, `-en-de`; sources
`wiktionary-<language>`, as the server holds one source per meaning
language). Inflected forms, and Wiktionary's entries for forms alone
("Häusern: dative plural of Haus"), find their word instead of being
entries; names and affixes are left out, as are articles that tables
give cells of their own, abbreviations and rare spellings, which would
match common words. Entries keep their part of speech, genders, IPA,
principal forms and examples keyed by language as JMdict's.
wordfreq's small lists (CC BY-SA 4.0, crediting SUBTLEX) in data/ rank
the words by how often they are used and label the 15,000 most used
`common`. Typing without accents or umlauts finds a word (`strasse`,
`haeuser`, `spiti`).
The format gains `textKeys`: what finds an entry in running text, its
own forms, never its meanings, which would match words of the meaning
language in a subtitle. `curate update --wiktionary de,el,en` keeps the
languages current: it asks kaikki.org when the dump last changed and
converts it again only when it is newer, or the languages or the
conversion changed. The whole dump converts in about ten minutes in
under 300 MB.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:19:16 +02:00
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/// The languages a comma-separated list names (`de,el,en`).
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Set<String> _languages(String? list) => {
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for (final language in (list ?? '').split(','))
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if (language.trim().isNotEmpty) language.trim(),
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};
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feat(curator): turn JMdict and the JLPT lists into dictionary files
A package of its own in the workspace, without Serverpod (AGPL, like the
tooling): an adapter per source writes one format for all, documented in
its README, which the server will load. The format is JSON Lines: a
header (source, version, languages, licence, credits), then entries with
a headword and reading, labels (`common`, `jlpt:n5`), a rank, the keys a
search matches, and the entry as cards take it. Everything specific to a
language happens in its adapter (Japanese: forms, readings in kana and
Hepburn romaji, long vowels typed once, meanings without "to" and
articles), so the server's search knows no language.
JMdict comes as jmdict-simplified's JSON, read one entry at a time: all
218,863 entries in some 20 seconds and 300 MB, 16.8 MB gzipped. The JLPT
lists (yomitan-jlpt-vocab, CC BY-SA 4.0, from Waller's CC BY lists) add
levels by JMdict entry, the easiest when a word is on several, and give
the headword its common spelling. Words rank N5 to N1, then the other
common words, then the rest.
The server's image leaves the package out, as it does the client's.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MMm7usAo6q9ZZRoPkWjoxi
Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-09 00:25:16 +02:00
|
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Never _fail(String message) {
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stderr.writeln(message);
|
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exit(64);
|
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}
|