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+GNU AFFERO GENERAL PUBLIC LICENSE
+Version 3, 19 November 2007
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+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+END OF TERMS AND CONDITIONS
\ No newline at end of file
diff --git a/packages/preview/auto-jrubby/0.3.1/README.md b/packages/preview/auto-jrubby/0.3.1/README.md
new file mode 100644
index 0000000000..7019d1dc98
--- /dev/null
+++ b/packages/preview/auto-jrubby/0.3.1/README.md
@@ -0,0 +1,223 @@
+# auto-jrubby
+
+**auto-jrubby** is a Typst package that provides automatic Japanese morphological analysis and furigana (ruby) insertion.
+
+It leverages a Rust-based WASM plugin to tokenize text using [Lindera](https://github.com/lindera/lindera) (a morphological analysis library) and uses the [rubby](https://typst.app/universe/package/rubby) package to render the furigana.
+
+## Features
+
+- **Automatic Furigana Generation:** Automatically determines readings for Kanji based on context and renders them as ruby text.
+- **Smart Okurigana Alignment:** Intelligent handling of mixed Kanji/Hiragana words (e.g., `食べる` is rendered with ruby `た` over `食`, leaving `べる` untouched).
+- **Morphological Analysis Table:** Visualize the text structure (Part of Speech, Detailed POS, Readings, Base forms) via a formatted data table.
+- **Customizable Styling:** Supports custom ruby sizing and positioning via the `rubby` package backend.
+- **High Performance:** Powered by a Rust WASM plugin using **Lindera** for fast and accurate tokenization.
+
+## Usage
+
+### Basic Furigana
+
+To automatically add readings to Japanese text:
+```typst
+#import "@preview/auto-jrubby:0.3.1": *
+#set text(font: "Hiragino Sans", lang: "ja")
+
+#let sample = "東京スカイツリーの最寄り駅はとうきょうスカイツリー駅です"
+#show-ruby(sample)
+```
+
+
+
+### Morphological Analysis Table
+
+To debug or display the linguistic structure of the text:
+```typst
+#import "@preview/auto-jrubby:0.3.1": *
+#set text(font: "Hiragino Sans", lang: "ja")
+
+#let sample = "東京スカイツリーの最寄り駅はとうきょうスカイツリー駅です"
+#show-analysis-table(sample)
+```
+
+
+
+## API Reference
+
+### `show-ruby`
+
+Renders the input text with automatic furigana.
+
+```typc
+#let show-ruby(
+ input-text,
+ size: 0.5em,
+ leading: 1.5em,
+ ruby-func: auto,
+ user-dict: none,
+ dict: "ipadic"
+)
+```
+
+**Parameters:**
+
+- `input-text` (string): The Japanese text to analyze and render.
+- `size` (length): The font size of the ruby text. Defaults to `0.5em`.
+- `leading` (length): The vertical space between lines to accommodate ruby text. Defaults to `1.5em`.
+- `ruby-func` (function | auto): A custom ruby function from the `rubby` package.
+ - If `auto`, it uses the default configuration (`get-ruby(size: size)`).
+ - If provided, it allows advanced customization of ruby positioning (e.g., specific `pos` or `alignment`).
+- `user-dict` (string | array | none): Optional user dictionary for custom tokenization.
+ - If `string`: A CSV-formatted string with custom dictionary entries.
+ - If `array`: An array of arrays, where each inner array represents a CSV row.
+ - If `none`: No user dictionary is used.
+- `dict` (string): The dictionary to use for tokenization. Must be one of:
+ - `"ipadic"` (default): Standard Japanese dictionary
+ - `"unidic"`: Alternative dictionary with different grammatical analysis
+
+### `show-analysis-table`
+
+Renders a table displaying the morphological breakdown of the text.
+
+```typc
+#let show-analysis-table(
+ input-text,
+ user-dict: none,
+ dict: "ipadic"
+)
+````
+
+**Parameters:**
+
+ - `input-text` (string): The text to analyze.
+ - `user-dict` (string | array | none): Optional user dictionary for custom tokenization.
+ - `dict` (string): The dictionary to use. Must be one of: `"ipadic"` (default) or `"unidic"`.
+
+**Table Columns:**
+
+The columns displayed depend on the selected `dict`.
+
+**If `dict: "ipadic"` (10 columns):**
+
+1. **Surface Form (表層形):** The word as it appears in the text.
+2. **Part of Speech (品詞):** Grammatical category (Noun, Verb, etc.).
+3. **POS Subcategory 1 (品詞細分類1)**
+4. **POS Subcategory 2 (品詞細分類2)**
+5. **POS Subcategory 3 (品詞細分類3)**
+6. **Conjugation Form (活用形)**
+7. **Conjugation Type (活用型)**
+8. **Base Form (原形):** The dictionary form of the word.
+9. **Reading (読み):** Katakana reading.
+10. **Pronunciation (発音)**
+
+**If `dict: "unidic"` (18 columns):**
+
+1. **Surface Form (表層形)**
+2. **POS Major (品詞大分類)**
+3. **POS Medium (品詞中分類)**
+4. **POS Minor (品詞小分類)**
+5. **POS Fine (品詞細分類)**
+6. **Conjugation Type (活用型)**
+7. **Conjugation Form (活用形)**
+8. **Lexeme Reading (語彙素読み)**
+9. **Lexeme (語彙素)**
+10. **Orthographic Surface (書字形出現形)**
+11. **Phonological Surface (発音形出現形)**
+12. **Orthographic Base (書字形基本形)**
+13. **Phonological Base (発音形基本形)**
+14. **Word Type (語種)**
+15. **Initial Mutation Type (語頭変化型)**
+16. **Initial Mutation Form (語頭変化形)**
+17. **Final Mutation Type (語末変化型)**
+18. **Final Mutation Form (語末変化形)**
+
+### `tokenize`
+
+Low-level function that returns the raw JSON data from the WASM plugin. Useful if you want to process the analysis data manually.
+
+```typc
+#let tokenize(
+ input-text,
+ user-dict: none,
+ dict: "ipadic"
+)
+```
+
+**Parameters:**
+
+ - `input-text` (string): The text to tokenize.
+ - `user-dict` (string | array | none): Optional user dictionary for custom tokenization.
+ - `dict` (string): The dictionary to use. Must be one of: `"ipadic"` or `"unidic"`.
+
+**Returns:** An array of dictionaries containing:
+
+ - `surface` (string): The surface form of the token.
+ - `details` (array of strings): The raw detailed information for the token. The content and length depend on the dictionary used (e.g., POS, conjugation, reading, etc.).
+ - `ruby_segments` (array of dictionaries): A pre-calculated list of segments for furigana, where each item has `text` and `ruby` fields.
+
+## User Dictionary Format
+
+The user dictionary allows you to define custom word segmentation and readings. It uses a simple CSV format with three columns:
+
+```csv
+,,
+```
+
+- `surface`: The word as it appears in text
+- `part_of_speech`: Custom part-of-speech label (e.g., "カスタム名詞")
+- `reading`: Katakana reading for the word
+
+**Usage Examples:**
+
+**Method 1: Inline string**
+
+```typst
+#let user-dict-str = "東京スカイツリー,カスタム名詞,トウキョウスカイツリー
+東武スカイツリーライン,カスタム名詞,トウブスカイツリーライン
+とうきょうスカイツリー駅,カスタム名詞,トウキョウスカイツリーエキ"
+
+#show-ruby("東京スカイツリーの最寄り駅はとうきょうスカイツリー駅です", user-dict: user-dict-str)
+```
+
+**Method 2: Array of arrays**
+
+```typst
+#let user-dict-array = (
+ ("東京スカイツリー", "カスタム名詞", "トウキョウスカイツリー"),
+ ("東武スカイツリーライン", "カスタム名詞", "トウブスカイツリーライン"),
+ ("とうきょうスカイツリー駅", "カスタム名詞", "トウキョウスカイツリーエキ")
+)
+
+#show-ruby("東京スカイツリーの最寄り駅はとうきょうスカイツリー駅です", user-dict: user-dict-array)
+```
+
+**Method 3: Load from CSV file**
+
+```bash
+$ cat user_dict.csv
+東京スカイツリー,カスタム名詞,トウキョウスカイツリー
+東武スカイツリーライン,カスタム名詞,トウブスカイツリーライン
+とうきょうスカイツリー駅,カスタム名詞,トウキョウスカイツリーエキ
+```
+
+```typst
+#let user-dict-from-file = csv("user_dict.csv")
+
+#show-ruby("東京スカイツリーの最寄り駅はとうきょうスカイツリー駅です", user-dict: user-dict-from-file)
+```
+
+## Under the Hood
+
+This package uses **Lindera** (a Rust port of Kuromoji) with two available dictionary options:
+
+- **IPADIC**: Standard Japanese morphological dictionary
+- **UniDic**: Alternative dictionary with different part-of-speech classifications
+
+The processing workflow:
+
+1. The text is passed from Typst to the Rust WASM plugin.
+2. Lindera tokenizes the text using the specified dictionary and retrieves readings.
+3. A custom algorithm aligns the readings with the surface form to separate okurigana (kana endings of verbs/adjectives) from the kanji stems.
+4. The structured data is returned to Typst and rendered using the `rubby` package for furigana display.
+
+## License
+
+This project is distributed under the AGPL-3.0-or-later License. See [LICENSE](https://www.google.com/search?q=LICENSE) for details.
\ No newline at end of file
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diff --git a/packages/preview/auto-jrubby/0.3.1/ipadic.wasm b/packages/preview/auto-jrubby/0.3.1/ipadic.wasm
new file mode 100755
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diff --git a/packages/preview/auto-jrubby/0.3.1/justfile b/packages/preview/auto-jrubby/0.3.1/justfile
new file mode 100644
index 0000000000..371645211b
--- /dev/null
+++ b/packages/preview/auto-jrubby/0.3.1/justfile
@@ -0,0 +1,67 @@
+TOML_FILE := "typst.toml"
+
+get_value_from_toml key:
+ #!/bin/bash
+ grep "{{key}}" {{TOML_FILE}} | sed -E 's/.*= "(.*)"/\1/'
+
+get_local_package_dir:
+ #!/bin/bash
+ if [[ "$OSTYPE" == "darwin"* ]]; then
+ # macOS
+ echo "$HOME/Library/Application Support/typst/packages"
+ elif [[ "$OSTYPE" == "linux-gnu"* ]]; then
+ # Linux
+ echo "${XDG_DATA_HOME:-$HOME/.local/share}/typst/packages"
+ elif [[ "$OSTYPE" == "msys"* || "$OSTYPE" == "cygwin"* ]]; then
+ # Windows
+ echo "$APPDATA/typst/packages"
+ else
+ echo "Unsupported OS"
+ exit 1
+ fi
+
+install:
+ #!/bin/bash
+ if ! command -v typst &> /dev/null; then
+ echo "Error: Typst is not installed. Please install it before running this recipe."
+ exit 1
+ fi
+
+ PACKAGE_NAME=$(just get_value_from_toml name)
+ PACKAGE_VERSION=$(just get_value_from_toml version)
+ LOCAL_PACKAGE_DIR=$(just get_local_package_dir)
+ TARGET_DIR="$LOCAL_PACKAGE_DIR/local/$PACKAGE_NAME/$PACKAGE_VERSION"
+
+ mkdir -p "$TARGET_DIR"
+
+ echo "Copying files to $TARGET_DIR..."
+
+ cp {{TOML_FILE}} "$TARGET_DIR"
+
+ cp *.typ "$TARGET_DIR"
+
+ if [ -f "auto_jrubby.wasm" ]; then
+ cp auto_jrubby.wasm "$TARGET_DIR"
+ else
+ echo "Warning: auto_jrubby.wasm not found in current directory."
+ exit 1
+ fi
+
+ [ -f "README.md" ] && cp README.md "$TARGET_DIR"
+ [ -f "LICENSE" ] && cp LICENSE "$TARGET_DIR"
+
+ echo "Package $PACKAGE_NAME version $PACKAGE_VERSION has been installed."
+
+clean:
+ #!/bin/bash
+ PACKAGE_NAME=$(just get_value_from_toml name)
+ PACKAGE_VERSION=$(just get_value_from_toml version)
+ LOCAL_PACKAGE_DIR=$(just get_local_package_dir)
+ TARGET_DIR="$LOCAL_PACKAGE_DIR/local/$PACKAGE_NAME/$PACKAGE_VERSION"
+
+ if [ -d "$TARGET_DIR" ]; then
+ rm -rf "$TARGET_DIR"
+ echo "Directory $TARGET_DIR has been removed."
+ else
+ echo "Directory $TARGET_DIR does not exist."
+ fi
\ No newline at end of file
diff --git a/packages/preview/auto-jrubby/0.3.1/lib.typ b/packages/preview/auto-jrubby/0.3.1/lib.typ
new file mode 100644
index 0000000000..c4fa3e7796
--- /dev/null
+++ b/packages/preview/auto-jrubby/0.3.1/lib.typ
@@ -0,0 +1,136 @@
+#import "@preview/rubby:0.10.2": get-ruby
+
+#let csv-array-to-string(data, delimiter: ",") = {
+ data.map(row => row.join(delimiter)).join("\n")
+}
+
+#let tokenize(input-text, user-dict: none, dict: "ipadic") = {
+ if dict not in ("ipadic", "unidic") {
+ panic("dict must be one of: ipadic, unidic")
+ }
+
+ let plugin = plugin(dict.replace("-", "_") + ".wasm")
+
+ let user-dict-csv = if user-dict != none {
+ if type(user-dict) == str {
+ user-dict
+ } else if type(user-dict) == array {
+ csv-array-to-string(user-dict)
+ } else {
+ panic("user-dict must be a string or array")
+ }
+ } else {
+ none
+ }
+
+ let params = if user-dict-csv != none {
+ (text: input-text, user_dict_csv: user-dict-csv)
+ } else {
+ (text: input-text)
+ }
+
+ let result-bytes = plugin.analyze(bytes(json.encode(params)))
+ let result-str = str(result-bytes)
+ if result-str.starts-with("Error:") { panic(result-str) }
+ json(result-bytes)
+}
+
+#let show-analysis-table(input-text, user-dict: none, dict: "ipadic") = {
+ let tokens = tokenize(input-text, user-dict: user-dict, dict: dict)
+ let get-safe(arr, idx) = {
+ if idx < arr.len() { arr.at(idx) } else { "*" }
+ }
+
+ if dict == "ipadic" {
+ table(
+ columns: (auto,) * 10,
+ inset: 5pt,
+ align: (left,) + (center,) * 9,
+ fill: (_, row) => if calc.odd(row) { luma(240) } else { white },
+ table.header(
+ text(size: 1em)[*表層形*],
+ text(size: 1em)[*品詞*],
+ text(size: 1em)[*品詞細1*],
+ text(size: 1em)[*品詞細2*],
+ text(size: 1em)[*品詞細3*],
+ text(size: 1em)[*活用形*],
+ text(size: 1em)[*活用型*],
+ text(size: 1em)[*原形*],
+ text(size: 1em)[*読み*],
+ text(size: 1em)[*発音*]
+ ),
+ ..tokens.map(t => (
+ t.surface,
+ text(size: 0.9em, get-safe(t.details, 0)),
+ text(size: 0.9em, get-safe(t.details, 1)),
+ text(size: 0.9em, get-safe(t.details, 2)),
+ text(size: 0.9em, get-safe(t.details, 3)),
+ text(size: 0.9em, get-safe(t.details, 4)),
+ text(size: 0.9em, get-safe(t.details, 5)),
+ text(size: 0.9em, get-safe(t.details, 6)),
+ text(size: 0.9em, get-safe(t.details, 7)),
+ text(size: 0.9em, get-safe(t.details, 8))
+ )).flatten()
+ )
+ } else if dict == "unidic" {
+ // UniDic: Surface + 17 Details = 18 Columns
+ table(
+ columns: (auto,) * 18,
+ inset: 3pt,
+ align: (left,) + (center,) * 17,
+ fill: (_, row) => if calc.odd(row) { luma(240) } else { white },
+ table.header(
+ text(size: 0.7em)[*表層形*],
+ text(size: 0.7em)[*品詞大*], text(size: 0.7em)[*品詞中*], text(size: 0.7em)[*品詞小*], text(size: 0.7em)[*品詞細*],
+ text(size: 0.7em)[*活用型*], text(size: 0.7em)[*活用形*],
+ text(size: 0.7em)[*読み*], text(size: 0.7em)[*語彙素*],
+ text(size: 0.7em)[*書字出*], text(size: 0.7em)[*発音出*], text(size: 0.7em)[*書字基*], text(size: 0.7em)[*発音基*],
+ text(size: 0.7em)[*語種*],
+ text(size: 0.7em)[*頭変型*], text(size: 0.7em)[*頭変形*], text(size: 0.7em)[*末変型*], text(size: 0.7em)[*末変形*]
+ ),
+ ..tokens.map(t => (
+ text(size: 0.6em, t.surface),
+ // UniDic Details (0-16 in array, corresponding to 4-20 in CSV)
+ text(size: 0.6em, get-safe(t.details, 0)), // 品詞大分類
+ text(size: 0.6em, get-safe(t.details, 1)), // 品詞中分類
+ text(size: 0.6em, get-safe(t.details, 2)), // 品詞小分類
+ text(size: 0.6em, get-safe(t.details, 3)), // 品詞細分類
+ text(size: 0.6em, get-safe(t.details, 4)), // 活用型
+ text(size: 0.6em, get-safe(t.details, 5)), // 活用形
+ text(size: 0.6em, get-safe(t.details, 6)), // 語彙素読み
+ text(size: 0.6em, get-safe(t.details, 7)), // 語彙素
+ text(size: 0.6em, get-safe(t.details, 8)), // 書字形出現形
+ text(size: 0.6em, get-safe(t.details, 9)), // 発音形出現形
+ text(size: 0.6em, get-safe(t.details, 10)), // 書字形基本形
+ text(size: 0.6em, get-safe(t.details, 11)), // 発音形基本形
+ text(size: 0.6em, get-safe(t.details, 12)), // 語種
+ text(size: 0.6em, get-safe(t.details, 13)), // 語頭変化型
+ text(size: 0.6em, get-safe(t.details, 14)), // 語頭変化形
+ text(size: 0.6em, get-safe(t.details, 15)), // 語末変化型
+ text(size: 0.6em, get-safe(t.details, 16)) // 語末変化形
+ )).flatten()
+ )
+ }
+}
+
+#let show-ruby(input-text, size: 0.5em, leading: 1.5em, ruby-func: auto, user-dict: none, dict: "ipadic") = {
+ let tokens = tokenize(input-text, user-dict: user-dict, dict: dict)
+
+ let cmd = if ruby-func == auto {
+ get-ruby(size: size)
+ } else {
+ ruby-func
+ }
+
+ par(leading: leading)[
+ #for t in tokens {
+ for seg in t.ruby_segments {
+ if seg.ruby == "" {
+ seg.text
+ } else {
+ cmd(seg.ruby, seg.text)
+ }
+ }
+ }
+ ]
+}
\ No newline at end of file
diff --git a/packages/preview/auto-jrubby/0.3.1/typst.toml b/packages/preview/auto-jrubby/0.3.1/typst.toml
new file mode 100644
index 0000000000..40cb1575e8
--- /dev/null
+++ b/packages/preview/auto-jrubby/0.3.1/typst.toml
@@ -0,0 +1,11 @@
+[package]
+name = "auto-jrubby"
+version = "0.3.1"
+entrypoint = "lib.typ"
+authors = ["Eito Yoneyama"]
+license = "AGPL-3.0-or-later"
+description = "Automatic Ruby Generation"
+compiler = "0.13.1"
+repository = "https://github.com/rice8y/auto-jrubby"
+keywords = ["ruby", "ルビ", "furigana", "振り仮名", "ふりがな", "Japanese"]
+exclude = ["./images"]
\ No newline at end of file
diff --git a/packages/preview/auto-jrubby/0.3.1/unidic.wasm b/packages/preview/auto-jrubby/0.3.1/unidic.wasm
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index 0000000000..0916630aeb
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