From 0b298bbc5a32a997d5956830e5fef02ffc9b5d2c Mon Sep 17 00:00:00 2001 From: yanyingwang Date: Sun, 2 Jun 2024 16:02:00 +0000 Subject: [PATCH] Deploy to GitHub pages --- appendix.html | 2 + cangjie.css | 9 + characters.html | 3 + conditionals.html | 4 + doc-index.html | 2 + doc-site.css | 0 doc-site.js | 0 hash.html | 40 + index.html | 2 + jquery-3.5.1.min.js | 2 + keywords.html | 4 + manual-fonts.css | 251 +++++ manual-racket.css | 326 +++++++ manual-racket.js | 250 +++++ manual-style.css | 792 ++++++++++++++++ ming-fonts.css | 34 + ming-hash.html | 16 + ming-kernel.html | 4 + ming-list.html | 22 + ming-number.html | 5 + ming-string.html | 9 + ming-vector.html | 6 + ming/appendix.html | 2 + ming/blueboxes.rktd | 1357 +++++++++++++++++++++++++++ ming/cangjie.css | 9 + ming/characters.html | 3 + ming/conditionals.html | 4 + ming/doc-index.html | 2 + ming/hash.html | 40 + ming/in.sxref | Bin 0 -> 221464 bytes ming/index.html | 2 + ming/jquery-3.5.1.min.js | 2 + ming/keywords.html | 4 + ming/ming-fonts.css | 34 + ming/ming-hash.html | 16 + ming/ming-kernel.html | 4 + ming/ming-list.html | 22 + ming/ming-number.html | 5 + ming/ming-string.html | 9 + ming/ming-vector.html | 6 + ming/ming_libs.html | 2 + ming/naming-rules.html | 2 + ming/numbers.html | 42 + ming/out0.sxref | Bin 0 -> 1116 bytes ming/out1.sxref | Bin 0 -> 133695 bytes ming/pairs-and-lists.html | 43 + ming/procedures.html | 5 + ming/provides.sxref | Bin 0 -> 40024 bytes ming/racket_base_others.html | 7 + ming/racket_library_in_chinese.html | 2 + ming/rainbow-delimiters.js | 192 ++++ ming/rationle.html | 3 + ming/stamp.sxref | 1 + ming/startup.html | 5 + ming/string.html | 36 + ming/symbols.html | 8 + ming/synced.rktd | 0 ming/syntax.html | 18 + ming/values.html | 2 + ming/vector.html | 7 + ming_libs.html | 2 + naming-rules.html | 2 + numbers.html | 42 + pairs-and-lists.html | 43 + procedures.html | 5 + racket.css | 251 +++++ racket_base_others.html | 7 + racket_library_in_chinese.html | 2 + rainbow-delimiters.js | 192 ++++ rationle.html | 3 + scribble-common.js | 153 +++ scribble-style.css | 0 scribble.css | 548 +++++++++++ startup.html | 5 + string.html | 36 + symbols.html | 8 + syntax.html | 18 + values.html | 2 + vector.html | 7 + 79 files changed, 5005 insertions(+) create mode 100644 appendix.html create mode 100644 cangjie.css create mode 100644 characters.html create mode 100644 conditionals.html create mode 100644 doc-index.html create mode 100644 doc-site.css create mode 100644 doc-site.js create mode 100644 hash.html create mode 100644 index.html create mode 100644 jquery-3.5.1.min.js create mode 100644 keywords.html create mode 100644 manual-fonts.css create mode 100644 manual-racket.css create mode 100644 manual-racket.js create mode 100644 manual-style.css create mode 100644 ming-fonts.css create mode 100644 ming-hash.html create mode 100644 ming-kernel.html create mode 100644 ming-list.html create mode 100644 ming-number.html create mode 100644 ming-string.html create mode 100644 ming-vector.html create mode 100644 ming/appendix.html create mode 100644 ming/blueboxes.rktd create mode 100644 ming/cangjie.css create mode 100644 ming/characters.html create mode 100644 ming/conditionals.html create mode 100644 ming/doc-index.html create mode 100644 ming/hash.html create mode 100644 ming/in.sxref create mode 100644 ming/index.html create mode 100644 ming/jquery-3.5.1.min.js create mode 100644 ming/keywords.html create mode 100644 ming/ming-fonts.css create mode 100644 ming/ming-hash.html create mode 100644 ming/ming-kernel.html create mode 100644 ming/ming-list.html create mode 100644 ming/ming-number.html create mode 100644 ming/ming-string.html create mode 100644 ming/ming-vector.html create mode 100644 ming/ming_libs.html create mode 100644 ming/naming-rules.html create mode 100644 ming/numbers.html create mode 100644 ming/out0.sxref create mode 100644 ming/out1.sxref create mode 100644 ming/pairs-and-lists.html create mode 100644 ming/procedures.html create mode 100644 ming/provides.sxref create mode 100644 ming/racket_base_others.html create mode 100644 ming/racket_library_in_chinese.html create mode 100644 ming/rainbow-delimiters.js create mode 100644 ming/rationle.html create mode 100644 ming/stamp.sxref create mode 100644 ming/startup.html create mode 100644 ming/string.html create mode 100644 ming/symbols.html create mode 100644 ming/synced.rktd create mode 100644 ming/syntax.html create mode 100644 ming/values.html create mode 100644 ming/vector.html create mode 100644 ming_libs.html create mode 100644 naming-rules.html create mode 100644 numbers.html create mode 100644 pairs-and-lists.html create mode 100644 procedures.html create mode 100644 racket.css create mode 100644 racket_base_others.html create mode 100644 racket_library_in_chinese.html create mode 100644 rainbow-delimiters.js create mode 100644 rationle.html create mode 100644 scribble-common.js create mode 100644 scribble-style.css create mode 100644 scribble.css create mode 100644 startup.html create mode 100644 string.html create mode 100644 symbols.html create mode 100644 syntax.html create mode 100644 values.html create mode 100644 vector.html diff --git a/appendix.html b/appendix.html new file mode 100644 index 00000000..6d9cea59 --- /dev/null +++ b/appendix.html @@ -0,0 +1,2 @@ + +6 Appendix
▼Ming Language
►6 Appendix
On this page:
6.1 terminology
8.13
    contents    up   

6 Appendix🔗

6.1 terminology🔗

    contents    up   
 
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') format('truetype'); +} + diff --git a/characters.html b/characters.html new file mode 100644 index 00000000..77929a92 --- /dev/null +++ b/characters.html @@ -0,0 +1,3 @@ + +5.4 字
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.4 字
On this page:
5.4.1 字，字?
5.4.2 例程
字?
字化数
数化字
字度/  utf-8
字=?
字<?
字<=?
字>?
字>=?
字=?/  ci
字<?/  ci
字<=?/  ci
字>?/  ci
字>=?/  ci
字?/  英
字?/  小写
字?/  大写
字?/  标题
数字?
字?/  符号
字?/  标点
字?/  象形
字?/  whitespace
字?/  blank
字?/  iso-control
汉字?
字类
字属
ake-known-char-range-list
字大写化
字小写化
字标题化
字标题化*
har-grapheme-step
8.13
    contents    up   

5.4 字🔗

5.4.1 字，字?🔗


+“字”（characters）就是通常所谓的“字符”。

5.4.2 例程🔗

 (require ming/racket/base) package: ming

composition

字? : 字 + ? = char?

composition

字化数 : 字 + 化 + 数 = char->integer

composition

数化字 : 数 + 化 + 字 = integer->char

composition

字度/utf-8 : 字度 + / + utf-8 = char-utf-8-length

composition

字=? : 字 + = + ? = char=?

composition

字<? : 字 + < + ? = char<?

composition

字<=? : 字 + < + = + ? = char<=?

composition

字>? : 字 + > + ? = char>?

composition

字>=? : 字 + > + = + ? = char>=?

composition

字=?/ci : 字=? + / + ci = char-ci=?

composition

字<?/ci : 字<? + / + ci = char-ci<?

composition

字<=?/ci : 字<=? + / + ci = char-ci<=?

composition

字>?/ci : 字>? + / + ci = char-ci>?

composition

字>=?/ci : 字>=? + / + ci = char-ci>=?

composition

字?/英 : 字? + / + 英 = char-alphabetic?

composition

字?/小写 : 字? + / + 小写 = char-lower-case?

composition

字?/大写 : 字? + / + 大写 = char-upper-case?

composition

字?/标题 : 字? + / + 标题 = char-title-case?

composition

数字? : 数 + 字 + ? = char-numeric?

composition

字?/符号 : 字? + / + 符号 = char-symbolic?

composition

字?/标点 : 字? + / + 标点 = char-punctuation?

composition

字?/象形 : 字? + / + 象形 = char-graphic?

composition

字?/whitespace : 字? + / + whitespace = char-whitespace?

composition

字?/blank : 字? + / + blank = char-blank?

composition

字?/iso-control : 字? + / + iso-control = char-iso-control?

composition

汉字? : 汉 + 字 + ? = char-extended-pictographic?

composition

字类 : 字 + 类 = char-general-category

composition

字属 : 字 + 属 = char-grapheme-break-property

composition

ake-known-char-range-list

 : a + k + e + - + k + n + o + w + n + - + c + h + a + r + - + r + a + n + g + e + - + l + i + s + t
 = make-known-char-range-list

composition

字大写化 : 字 + 大 + 写 + 化 = char-upcase

composition

字小写化 : 字 + 小 + 写 + 化 = char-downcase

composition

字标题化 : 字 + 标 + 题 + 化 = char-titlecase

composition

字标题化* : 字 + 标 + 题 + 化 + * = char-foldcase

composition

har-grapheme-step

 : h + a + r + - + g + r + a + p + h + e + m + e + - + s + t + e + p
 = char-grapheme-step

    contents    up   
 
\ No newline at end of file diff --git a/conditionals.html b/conditionals.html new file mode 100644 index 00000000..17b39467 --- /dev/null +++ b/conditionals.html @@ -0,0 +1,4 @@ + +5.10 Conditionals
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.10 Conditionals
On this page:
5.10.1 丫，􏸣、􏸟
5.10.2 并、戈
5.10.3 当、肖，夬
5.10.4 非
5.10.5 References
丫
􏸣
􏸟
并
戈
肖
当
夬
非
8.13
    contents    up   

5.10 Conditionals🔗

5.10.1 丫，􏸣、􏸟🔗

🐘 􏸞

  • 丫: imagine a data flow that is importing in, and there are two paths it can be exported out.
    zi

  • 􏸣: for the data flow case of 丫, imagine 一 as a barrier which has blocked one direction of the export paths, thus the other export path is extended.
    zi

  • 􏸟: (􏸟 a b1 ...) is short for (􏸣 (非 a) b1 ...).
    zi

Examples:
> (丫 (= 1 1) 'equal 'unequal)

'equal

> (􏸣 (= 1 1) 'equal)

'equal

> (􏸟 (= 1 2) 'unequal)

'unequal

5.10.2 并、戈🔗

  • 并: simplifies for 𠀤 in ancient chinese, means merge two or more than two objects as one, especially means and in ming-lang.
    zi

  • 戈: simplifies for 或, which means or in modern chinese.
    zi

Examples:
> (并 1 2 3)

3

> (戈 1 2 3)

1

> (并 #t #t #f)

#f

> (戈 #f #f #t)

#t

5.10.3 当、肖，夬🔗

  • 当: means when, on the condition of in modern chinese.
    zi

  • 肖: means resemble, case in modern chinese.
    zi

  • 夬: simplifies for 缺/决 in ancient chinese, means absent/burst, especially means when no conditions or cases take effect in ming-lang.
    +Imagine that the data flow is importing in, lots of conditions and cases are implemented as export paths, 夬 is a breaking point for data to export when no valid conditions and cases are effective.
    zi

Examples:
> (当
    [(􏻛? 0) (displayln "positive number")]
    [(􏻛? 0) (displayln "negative number")]
    [夬 (displayln "neither positive or negative number")])

neither positive or negative number

> (肖 (+ 1 1)
    [(1) (displayln "result is 1")]
    [(2) (displayln "result is 2")]
    [夬 (displayln "result is neither 1 or 2")])

result is 2

5.10.4 非🔗

🐘 𥟍

非: means not in modern chinese.
zi
+

Examples:
> (非 1)

#f

> ((𥟍 𥥪?) 1)

#t

5.10.5 References🔗

 (require ming/racket/base) package: ming

composition

丫 : 丫 = if

composition

􏸣 : elem + needtofix + + + needtofix = when

composition

􏸟 : elem + needtofix + + + needtofix = unless

composition

并 : 并 = and

composition

戈 : 戈 = or

composition

肖 : 肖 = case

composition

当 : 当 = cond

composition

夬 : 夬 = else

composition

非 : 非 = not

    contents    up   
 
\ No newline at end of file diff --git a/doc-index.html b/doc-index.html new file mode 100644 index 00000000..7a3e3a65 --- /dev/null +++ b/doc-index.html @@ -0,0 +1,2 @@ + +Index
▼Ming Language
    contents    up  next → 

Index🔗

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

 

*
+
-
/
<
<=
=
>
>=
?datum-intern-literal
?generate-temporaries
?identifier-prune-lexical-context
?identifier-prune-to-source-module
?syntax-binding-set
?syntax-binding-set->syntax
?syntax-binding-set-extend
?syntax-binding-set?
?syntax-debug-info
?syntax-original?
?syntax-recertify
?syntax-shift-phase-level
?余弦
?分子
?分母
?反余弦
?反正切
?反正弦???
?对数
?平方根
?整数平方根
?整数平方根余数
?最大公约数
?最小公约数
?极式复数???
?极式复数度???
?极式复数量???
?次方
?欧拉次方???
?正切
?正弦
?矩数???
?粊化
?􏺃司
?􏿰引
?􏿰引日
?􏿰引日月
?􏿰引明
?􏿰引月
?􏿰继引
Additional References
ake-known-char-range-list
Appendix
Base References
Character implications
Characters
Chineseoid characters
Code highlight for Emacs editor
Conditionals
Fonts and Input method
GGFSM
har-grapheme-step
Hybrids
kernel of ming lang
Lisp and its parenthsis
ming
Ming Language
Ming Libraries
ming/hash
ming/kenel
ming/kernel
ming/list
ming/number
ming/racket/base
ming/racket/base
ming/racket/function
ming/racket/hash
ming/racket/keywords
ming/racket/list
ming/racket/list
ming/racket/string
ming/racket/symbol
ming/racket/vector
ming/string
ming/vector
Naming Rules
Naming Rules
Naming Rules
Phrases
Punctuations
Racket Libraries
Rationale
References
References
Startup
terminology
〇?
㐅
㐅?
並
並
丫
丫，􏸣、􏸟
令
伄
伄^
位置信息：􏹷，􏹸、􏹹，􏹾，􏹵
例程
例程命名规则
偅
偏
入
入、􏸗
写
勾
勾<?
勾?
勾?，勾化句、句化勾、勾化􏽁
勾化句
勾化􏽁
卩?
双
双 and 􏿴
双, 㐅, 􏿴, 􏿫, 阴, 阳
双?
句
句
句
句<=?
句<?
句=?
句>=?
句>?
句?
句ci<=?
句ci<?
句ci=?
句ci>=?
句ci>?
句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?
句化勾
句化米
句化勺
句化􏺋
句化􏺍
句􏾝
可􏻞?
右􏷎
同?
同? 􏷇? 􏷆? 􏷈?
名
命名规则
基础例程
基础例程
基础例程
基础例程
基础例程
夈?
大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?
夬
字
字<=?
字<=?/ci
字<?
字<?/ci
字=?
字=?/ci
字>=?
字>=?/ci
字>?
字>?/ci
字?
字?/blank
字?/iso-control
字?/whitespace
字?/大写
字?/小写
字?/标点
字?/标题
字?/符号
字?/英
字?/象形
字化数
字大写化
字小写化
字属
字度/utf-8
字标题化
字标题化*
字类
字，字?
实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?
宩
宩?
宩化􏹔句
山?
左􏸑
左􏸑, 左􏸒, 左􏸓
左􏸒
左􏸓
巨
巨
常用概念：􏻛?、􏻚?，􏺧?、􏺦?
常用概念：􏻴?，𥥪?
并
并、戈
弓
弓*
弔
弔, 弓,弓*, 􏹂, 􏹂*
当
当、肖，夬
戈
报参错
攸
攸
攸/入
数值修改：􏹚，􏹓、􏹒、􏹑、􏹐
数化字
数字?
数的类型例程
数的运算例程
无
无?
未分类
末
末, 􏹨
格
求
汉字?
示
禾
禾?
禾、禾?
秝
穴
米
米
米?
米化句
类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句
粊?
糢
组合表达：􏻲?，􏺡?
肖
行写
行示
行陈
转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋
转化：􏹲，􏹩，􏹴、􏹳
运算概念：􏽊、􏽉，􏺗、􏺘
遍
遍/􏿴
遍?
釆?
重
阳
阳+
阳++
阳+++
阳++-
阳+-
阳+-+
阳+--
阳-
阳-+
阳-++
阳-+-
阳--
阳--+
阳---
阴
阴+
阴++
阴+++
阴++-
阴+-
阴+-+
阴+--
阴-
阴-+
阴-++
阴-+-
阴--
阴--+
阴---
阴阳+-
陈
非
非
额外例程
额外例程
额外例程
额外例程
𠆯
𠛮􏿰
𠝤
𡊤
𡌶0
𥟍
𥥪?
𥺌
𨚞
𨚞/入
勺
勺?
勺?、􏺏?、􏺋?，􏺌
勺化句
勺化􏽁
𰂋
𰂋，偏，􏾜，重、𠝤
𰅰，並，𡌶
􏷆?
􏷇?
􏷈?
􏷍/分组
􏷍/排列组合
􏷍/笛卡尔积
􏷍/组合
􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组
􏷍?
􏷍序列/排列组合
􏷍序列/组合
􏷎
􏷏
􏷐
􏷑
􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘
􏷑􏺗
􏷑􏺘
􏷑􏿝
􏷒
􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎
􏷓
􏷔
􏷕
􏷖
􏷗
􏷘
􏷙
􏷚
􏷛
􏷜
􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓
􏷴
􏷴/入
􏷵
􏷵/入
􏸃
􏸃/入
􏸄
􏸄/入
􏸕
􏸗
􏸘
􏸘
􏸛，􏸚
􏸞
􏸟
􏸣
􏸧
􏸪
􏸫
􏸬
􏸵
􏸶?
􏸽
􏸾
􏹂
􏹂*
􏹃
􏹄
􏹅
􏹇
􏹇~
􏹈
􏹈分
􏹈分，􏹈巨
􏹈巨
􏹈􏷑
􏹉
􏹉/侗
􏹉/􏾃
􏹉/􏾗
􏹊
􏹊^
􏹊^/侗
􏹊^/􏾃
􏹊^/􏾗
􏹊~
􏹊~/侗
􏹊~/􏾃
􏹊~/􏾗
􏹋
􏹋/侗
􏹋/􏾃
􏹋/􏾗
􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇
􏹌
􏹐
􏹑
􏹒
􏹓
􏹔
􏹚
􏹨
􏹩
􏹲
􏹳
􏹴
􏹵
􏹷
􏹸
􏹹
􏹾
􏺃
􏺃
􏺃?
􏺃，卩?，􏺃?
􏺇
􏺈
􏺊
􏺋?
􏺌
􏺏?
􏺒
􏺓
􏺓*
􏺔
􏺔，􏺓，􏺒
􏺕
􏺕，􏼭，句􏾝
􏺗
􏺘
􏺟?
􏺟化
􏺠?
􏺡?
􏺣?
􏺦?
􏺧?
􏻓
􏻓和𥺌
􏻚?
􏻛?
􏻝?
􏻝化
􏻞?
􏻞化
􏻟
􏻥?
􏻧?
􏻧化
􏻲?
􏻴?
􏻵?
􏻷?
􏻸?
􏻹
􏻺
􏻺𰅡
􏻻
􏻼
􏻼?
􏻼化
􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並
􏻽
􏻽?
􏻿
􏻿
􏻿
􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?
􏻿?
􏻿化􏿴
􏻿巨
􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒
􏻿弓
􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇
􏻿弓/􏾃
􏻿弓/􏾗
􏻿弔
􏻿𠆯
􏻿𢪛
􏻿𢪛/以􏾝
􏻿𨚞
􏻿􏷉
􏻿􏷑
􏻿􏷑􏺗
􏻿􏷑􏺘
􏻿􏷴
􏻿􏷵
􏻿􏸃
􏻿􏸄
􏻿􏹇
􏻿􏹈
􏻿􏹈巨
􏻿􏽒
􏻿􏾝
􏻿􏾝化並
􏻿􏾩
􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝
􏻿􏾺
􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝
􏼁
􏼂
􏼃
􏼄
􏼅
􏼅，􏼄
􏼅𰅡
􏼎
􏼏
􏼏*
􏼓
􏼓, 􏼎
􏼘
􏼘/以􏾝
􏼘，􏼘/以􏾝，􏼅𰅡
􏼛
􏼝
􏼟?
􏼥
􏼩
􏼩、􏼪，􏼳、􏼲
􏼪
􏼭
􏼲
􏼳
􏼸?
􏼹?
􏼹?，􏼸?，􏸶?
􏽀
􏽀?
􏽀化
􏽁
􏽁?
􏽁化
􏽁化，􏽀化
􏽉
􏽊
􏽛?
􏽜?
􏽝?
􏽞?
􏽟?
􏽠?
􏽡?
􏽢?
􏽣?
􏽤?
􏽥?
􏽦?
􏽧?
􏽨?
􏽩?
􏽪?
􏽫?
􏽬?
􏽭?
􏽮?
􏽻^
􏽼^
􏽽^
􏽿^
􏾀^
􏾁^
􏾄^
􏾅^
􏾆^
􏾈?
􏾈^
􏾉
􏾉?
􏾉^
􏾊
􏾊?
􏾊^
􏾋
􏾋?
􏾋^
􏾌
􏾌?
􏾎?
􏾏?
􏾏^
􏾐?
􏾐^
􏾑
􏾑?
􏾑化
􏾑化
􏾘
􏾘^
􏾛
􏾜
􏾝
􏾺
􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?
􏾺/入
􏾺?
􏿜
􏿝
􏿫
􏿰
􏿰
􏿰
􏿰?
􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?
􏿰^
􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳
􏿰、􏾌、􏾋、􏾊、􏾉
􏿰交!
􏿰佫
􏿰化􏿳
􏿰各
􏿰各、􏿰􏺆、􏿰佫
􏿰巨
􏿰巨
􏿰并
􏿰并!
􏿰弔
􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘
􏿰攸
􏿰攸+
􏿰攸/入
􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入
􏿰日?
􏿰𠛮
􏿰𫼛
􏿰􏺆
􏿰􏺇
􏿰􏺈
􏿰􏺈、􏿰􏺇，􏿰日?
􏿰􏺈仔?
􏿰􏺈仔?
􏿰􏽗
􏿰􏽘
􏿰􏽙
􏿰􏾘
􏿰􏾩
􏿰􏾩+
􏿰􏾩/入
􏿳
􏿳?
􏿴
􏿴
􏿴?
􏿴化􏻿

    contents    up  next → 
 
\ No newline at end of file diff --git a/doc-site.css b/doc-site.css new file mode 100644 index 00000000..e69de29b diff --git a/doc-site.js b/doc-site.js new file mode 100644 index 00000000..e69de29b diff --git a/hash.html b/hash.html new file mode 100644 index 00000000..e46e5779 --- /dev/null +++ b/hash.html @@ -0,0 +1,40 @@ + +5.3 􏿰
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.3 􏿰
On this page:
5.3.1 例程命名规则
5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉
5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳
5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?
5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?
5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘
5.3.7 􏿰攸、􏿰攸+  ，􏿰􏾩、􏿰􏾩+  ，􏿰攸/  入、􏿰􏾩/  入
5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰
5.3.9 􏿰各、􏿰􏺆、􏿰佫
5.3.10 􏿰􏺈仔?
5.3.11 􏿰巨
5.3.12 􏾑化
5.3.13 基础例程
􏿰
􏾋
􏾊
􏾉
􏿰?
􏾌?
􏾋?
􏾊?
􏾉?
􏾎?
􏾏?
􏾈?
􏿰^
􏾋^
􏾊^
􏾉^
􏾐^
􏾆^
􏾅^
􏾄^
􏾏^
􏾁^
􏾀^
􏽿^
􏾈^
􏽽^
􏽼^
􏽻^
􏿰攸
􏿰攸+
􏿰攸/  入
􏿰􏾩
􏿰􏾩+
􏿰􏾩/  入
􏿰弔
􏿰􏽙
􏿰𫼛
􏿰日?
􏿰􏾘
􏿰􏽘
􏿰𠛮
􏿰􏽗
𠛮􏿰
􏿰􏺆
􏿰佫
􏿰􏺈
􏿰􏺇
􏿰化􏿳
􏿰􏺈仔?
􏿰各
􏿰巨
􏻵?
?􏿰引
?􏿰继引
?􏿰引日
?􏿰引月
?􏿰引明
?􏿰引日月
􏾑化
5.3.14 额外例程
􏿰并
􏿰并!
􏿰交!
8.13
    contents    up   

5.3 􏿰🔗

另见名扩展库：􏿰

“􏿰”（hash）是一种内部元素都是“键值对（key/value）”的数据结构。

5.3.1 例程命名规则🔗

见Naming Rules，有： +

规则

指示

含义

举例

囗/古/舌/亻 + 􏿰

“􏿰”中“键值对”唯一性的确立方式

是通过与之对应的同?/􏾗?/􏾃?/侗?中的任一者所确立的

􏾌、􏾋、􏾊、􏾉

山/氵 + 􏿰

“􏿰”中“键值对”是否可变

是不可或可被增加、删除或修改的

􏾐?、􏾑?

⺮/艹 + 􏿰

“􏿰”中“键值对”之“键”的存储方式

是刚性或柔性的

􏾎?、􏾏?

亻

相似集（类型相同且元素相似）

出参数据与进参数据相比，类型相同且内容类似

􏿰攸

阝

连续集（类型相同且元素连续相同）

出参数据与进参数据相比，类型相同且前者是后者的一部分

􏿰􏺈、􏿰􏺇

刂

缺失集（删除、移走、去掉部分元素之后的集合）

出参数据与进参数据相比，类型相同且前者是后者的子集

􏿰􏾘、􏿰𠛮

扌/!结尾

修改警示

会直接修改原始数据而非另造新数据作输出

􏿰􏾩、􏿰𫼛、􏿰𫼛、􏿰􏽘、􏿰􏽗

^结尾

入参

入参数据是􏿳类数据

􏿰^、􏾋^、􏾊^、􏾉^

+结尾

入参

入参数据以相同方式多次出现

􏿰攸+、􏿰􏾩+

5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉🔗


+

􏿰为新造字 +

  • 广：工厂、容器、外壳；

  • 双：键值对（因为类似双，另见：􏿳）；

􏾌、􏾋、􏾊、􏾉为新造字 +

  • 囗：同的简写，见同?；

  • 古：􏾗的简写，见􏾗?；

  • 舌：􏾃的简写，见􏾃?；

  • 亻：侗的简写，见侗?。

􏾐、􏾑、􏾎、􏾏、􏾈为新造字 +

  • 山：稳定的、内容不变的（因为“山”是稳定的，见：􏾐?）；

  • 氵：易动的、内容可变的（因为“水”是易变的，见：􏾑?）；

  • ⺮：刚韧的（因为“竹”是刚韧的，见：􏾎?）；

  • 艹：柔弱的（因为“艸”（草）是柔弱的，见：􏾏?）；

  • 艹（中间加丨）：见􏾈?。

􏻵为新造字 +

  • 穴：简写，通空。

另见：􏾑

“􏿰”在以下特性上可以被进一步细分： +

  • 是否可以增加、修改、删除“键值对”，即“􏿰”的内容是否可以被改变： +

    • 􏾐：内容不可改变的“􏿰”，也称“固􏿰”；

    • 􏾑：内容可改变的“􏿰”，也称“易􏿰”（扌偏旁相关的例程或以!结尾的例程只能作用在“易􏿰”上）。

  • 不能有重复的“键值对”，即“键值对”的唯一性要如何被确立（通过各个“键值对”之间“键”的相互比较来确立）： +

    • 􏾌：比较函数是同?；

    • 􏾋：比较函数是􏾗?；

    • 􏾊：比较函数是􏾃?；

    • 􏾉：比较函数是侗?。

  • 对于“键值对”，其“键”的存储可以是： +

    • 􏾎：刚性的；

    • 􏾏：柔性的；

    • 􏾈：类􏾧的。

通过􏿰创建的是􏾌?、􏾎?和􏾐?都是真的“􏿰”。 +

Examples:
> (􏿰 1 2 3 4)

'#hash((1 . 2) (3 . 4))

> (􏽮? (􏿰 1 2 3 4))

#t

5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳🔗


+“􏿳”和“􏿰”可以互相进行转换，􏿳化在此用^标记来简写。
+通过􏿰^创建的是􏾌?、􏾎?和􏾑?都为真的“􏿰”。 +

另见：􏾑、􏿳

Examples:
> (􏿰^ '((1 . 2) (3 . 4)))

'#hash((1 . 2) (3 . 4))

> (􏽦? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾏^ '((1 . 2) (3 . 4)))

'#hash((1 . 2) (3 . 4))

> (􏽦? (􏾏^ '((1 . 2) (3 . 4))))

#f

> (􏾁^ '((1 . 2) (3 . 4)))

'#hashalw((1 . 2) (3 . 4))

> (􏽡? (􏾁^ '((1 . 2) (3 . 4))))

#t

> (􏿰化􏿳 (􏿰 1 2 3 4))

'((1 . 2) (3 . 4))

> (􏿰化􏿳 (􏾋 1 2 3 4))

'((1 . 2) (3 . 4))

> (􏿰化􏿳 (􏾑 1 2 3 4))

'((1 . 2) (3 . 4))

5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?🔗


+

另见：
+􏾐?、􏾑?，
+􏽞?、􏽝?、􏽜?、􏽛?，
+􏽮?、􏽭?、􏽬?、􏽫?，
+􏽦?、􏽥?、􏽤?、􏽣?，
+􏽪?、􏽩?、􏽨?、􏽧?，
+􏽢?、􏽡?、􏽠?、􏽟?。

Examples:
> (􏿰? (􏿰 1 2 3 4))

#t

> (􏾌? (􏿰 1 2 3 4))

#t

> (􏾎? (􏿰 1 2 3 4))

#t

> (􏾐? (􏿰 1 2 3 4))

#t

> (􏽮? (􏿰 1 2 3 4))

#t

> (􏿰^ '((1 . 2) (3 . 4)))

'#hash((1 . 2) (3 . 4))

> (􏾌? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾎? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾑? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽦? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽦? (􏾏^ '((1 . 2) (3 . 4))))

#f

> (􏽡? (􏾁^ '((1 . 2) (3 . 4))))

#t

> (􏻵? (􏿰 'a "aa" 'b "bb"))

#f

> (􏻵? (􏿰))

#t

5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?🔗


+

􏺈为古活字
+􏺇为新造字
+

  • 日：“键值对”的“键”（双的阳）；

  • 月：“键值对”的“值”（双的阴）。

对于􏿰中的“键值对”，因其类于双，故在此也称为“明”（阳+阴）。进而，“键值对”的“键”称为“日”，“值”称为“月”。 +

Examples:
> (􏿰􏺈 (􏿰 'a "apple" 'b "banana"))

'(b a)

> (􏿰􏺇 (􏿰 'a "apple" 'b "banana"))

'("banana" "apple")

> (􏿰日? (􏿰 'a "apple" 'b "banana") 'a)

#t

5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘🔗


+

𫼛为古活字
+􏽙为新造字
+􏾘为新造字
+􏽘为新造字
+

Examples:
> (􏿰弔 (􏿰 'a "apple" 'b "banana") 'b)

"banana"

> (􏿰弔 (􏿰 'a "apple" 'b "banana") 'b "cat")

"banana"

> (􏿰弔 (􏿰 'a "apple" 'b "banana") 'c "cat")

"cat"

> (􏿰􏽙 (􏿰 'a "apple" 'b "banana") 'b)

'b

> (􏿰􏽙 (􏿰 'a "apple" 'b "banana") 'b "cat")

'b

> (􏿰􏽙 (􏿰 'a "apple" 'b "banana") 'c "cat")

"cat"

> (􏿰􏾘 (􏿰 'a "apple" 'b "banana") 'a)

'#hash((b . "banana"))

> (名 h (􏾑 'a "apple" 'b "banana"))
> (􏿰𫼛 h 'b "cat")

"banana"

> h

'#hash((a . "apple") (b . "banana"))

> (􏿰𫼛 h 'c "cat")

"cat"

> h

'#hash((a . "apple") (b . "banana") (c . "cat"))

> (􏿰􏽘 h 'a)
> h

'#hash((b . "banana") (c . "cat"))

5.3.7 􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入🔗


+

参见：攸

Examples:
> (􏿰攸 (􏿰 'a "apple" 'b "banana") 'b "ba")

'#hash((a . "apple") (b . "ba"))

> (􏿰攸+ (􏿰 'a "apple" 'b "banana") 'a "ap" 'b "ba")

'#hash((a . "ap") (b . "ba"))

> (􏿰攸/入 (􏿰 'a "apple" 'b "banana" 'c 1) 'c 􏽊)

'#hash((a . "apple") (b . "banana") (c . 2))

> (名 h (􏾑 'a "apple" 'b "banana"))
> (􏿰􏾩+ h 'a "ap" 'b "ba")
> h

'#hash((a . "ap") (b . "ba"))

5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰🔗


+

𠛮为古活字 +

  • 刂：删除；

Examples:
> (􏿰𠛮 (􏿰 'a "apple" 'b "banana"))

'#hash()

> (名 h (􏾑 'a "apple" 'b "banana"))
> (􏿰􏽗 h)
> h

'#hash()

> (𠛮􏿰 (􏿰 'a "apple" 'b "banana"))

'#hash()

5.3.9 􏿰各、􏿰􏺆、􏿰佫🔗


+

􏺆为新造字 +

  • 又：􏿴的缩写；

参见：佫

Examples:
> (􏿰各 (􏿰 'a "apple" 'b "banana") (入 (K V) (示 K) (示 V)))

'b"banana"'a"apple"

> (􏿰􏺆 (􏿰 'a "apple" 'b "banana") (入 (K V) (􏿴 V K)))

'(("banana" b) ("apple" a))

> (􏿰佫 (􏿰 'a "apple" 'b "banana") (入 (K V) (􏸼 V K)))

􏸼: undefined;

 cannot reference an identifier before its definition

  in module: top-level

5.3.10 􏿰􏺈仔?🔗


+

参见：􏿰􏺈、仔?

Examples:
> (􏿰􏺈仔? (􏿰 'a "aa" 'b "bb") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#t

> (􏿰􏺈仔? (􏿰 'a "aa" 'c "cc") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#t

> (􏿰􏺈仔? (􏿰 'a "aa" 'd "dd") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#f

> (􏿰􏺈仔? (􏿰 'b "bb") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#t

5.3.11 􏿰巨🔗


+

参见：巨、空?

Example:
> (􏿰巨 (􏿰 'a "aa" 'b "bb"))

2

5.3.12 􏾑化🔗


+

Examples:
> (􏾐? (􏿰 'a "aa" 'b "bb"))

#t

> (􏾐? (􏾑化 (􏿰 'a "aa" 'b "bb")))

#f

5.3.13 基础例程🔗

 (require ming/racket/base) package: ming

composition

􏿰 : elem + 创建 + needtofix = hash

composition

􏾋 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hashalw

composition

􏾊 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hasheqv

composition

􏾉 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hasheq

composition

􏿰?

 : elem + 是否是 + needtofix + 、 + needtofix + 、 + needtofix + 、 + needtofix + 的任一种
 = hash?

composition

􏾌? : elem + 是否是 + needtofix = hash-equal?

composition

􏾋? : elem + 是否是 + needtofix = hash-equal-always?

composition

􏾊? : elem + 是否是 + needtofix = hash-eqv?

composition

􏾉? : elem + 是否是 + needtofix = hash-eq?

composition

􏾎? : elem + 类上，键是否是被刚性存储的 = hash-strong?

composition

􏾏? : elem + 类上，键是否是被柔性存储的 = hash-weak?

composition

􏾈? : elem + 类上，键的存储是否是采用 + needtofix = hash-ephemeron?

composition

􏿰^ : elem + needtofix + 转换成 + needtofix = make-hash

composition

􏾋^ : elem + needtofix + 转换成 + needtofix = make-hashalw

composition

􏾊^ : elem + needtofix + 转换成 + needtofix = make-hasheqv

composition

􏾉^ : elem + needtofix + 转换成 + needtofix = make-hasheq

composition

􏾐^ : elem + 如上类推 = make-immutable-hash

composition

􏾆^ : elem + 如上类推 = make-immutable-hashalw

composition

􏾅^ : elem + 如上类推 = make-immutable-hasheqv

composition

􏾄^ : elem + 如上类推 = make-immutable-hasheq

composition

􏾏^ : elem + 如上类推 = make-weak-hash

composition

􏾁^ : elem + 如上类推 = make-weak-hashalw

composition

􏾀^ : elem + 如上类推 = make-weak-hasheqv

composition

􏽿^ : elem + 如上类推 = make-weak-hasheq

composition

􏾈^ : elem + 如上类推 = make-ephemeron-hash

composition

􏽽^ : elem + 如上类推 = make-ephemeron-hashalw

composition

􏽼^ : elem + 如上类推 = make-ephemeron-hasheqv

composition

􏽻^ : elem + 如上类推 = make-ephemeron-hasheq

composition

􏿰攸 : elem + 以新造数据的方式来修改某“键”对应的“值” = hash-set

composition

􏿰攸+ : elem + 以新造数据的方式来修改某些“键”所对应的“值” = hash-set*

composition

􏿰攸/入 :  = hash-update

composition

􏿰􏾩 : elem + 直接修改某“键”对应的“值” = hash-set!

composition

􏿰􏾩+ : elem + 直接修改某些“键”所对应的“值” = hash-set*!

composition

􏿰􏾩/入 :  = hash-update!

composition

􏿰弔 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阴”位数据（未找到数据则返回默认设置值）；

 = hash-ref

composition

􏿰􏽙 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阳”位数据； = hash-ref-key

composition

􏿰𫼛

 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阴”位数据（未找到数据则直接修改原数据增加新“键值对”）；
 = hash-ref!

composition

􏿰日? : elem + 是否存在某“键” = hash-has-key?

composition

􏿰􏾘 : elem + 以新造数据的方式来删除某“键”和其对应的“值” = hash-remove

composition

􏿰􏽘 : elem + 直接删除某“键”和其对应的“值” = hash-remove!

composition

􏿰𠛮 : elem + 以新造数据的方式来删除全部“键”和其对应的“值” = hash-clear

composition

􏿰􏽗 : elem + 直接删除全部“键”和其对应的“值” = hash-clear!

composition

𠛮􏿰 : elem + 以删除全部“键”和其对应的“值”的方式新造空数据 = hash-copy-clear

composition

􏿰􏺆 : elem + 把某一个例程依次作用在各个明（键值对）上，出参是 + needtofix = hash-map

composition

􏿰佫 : elem + 把某一个例程依次作用在各个明（键值对）上 = hash-map/copy

composition

􏿰􏺈 : elem + 返回􏿰中所有键值对的“键”组成的 + needtofix = hash-keys

composition

􏿰􏺇 : elem + 返回􏿰中所有键值对的“值”组成的 + needtofix = hash-values

composition

􏿰化􏿳 : 􏿰 + 化 + 􏿳 = hash->list

composition

􏿰􏺈仔? : elem + 前者是否是后者的 + needtofix + 的子集 = hash-keys-subset?

composition

􏿰各 : 􏿰 + 各 = hash-for-each

composition

􏿰巨 : 􏿰 + 巨 = hash-count

composition

􏻵? : 􏻵 + ? = hash-empty?

composition

?􏿰引 : ? + 􏿰 + 引 = hash-iterate-first

composition

?􏿰继引 : ? + 􏿰 + 继 + 引 = hash-iterate-next

composition

?􏿰引日 : ? + 􏿰 + 引 + 日 = hash-iterate-key

composition

?􏿰引月 : ? + 􏿰 + 引 + 月 = hash-iterate-value

composition

?􏿰引明 : ? + 􏿰 + 引 + 明 = hash-iterate-pair

composition

?􏿰引日月 : ? + 􏿰 + 引 + 日 + 月 = hash-iterate-key+value

composition

􏾑化 : elem + 将 + needtofix + 转化为 + needtofix = hash-copy

5.3.14 额外例程🔗

 (require ming/racket/hash) package: ming

composition

􏿰并 : 􏿰 + 并 = hash-union

composition

􏿰并! : 􏿰 + 并 + ! = hash-union!

composition

􏿰交! : 􏿰 + 交 + ! = hash-intersect

    contents    up   
 
\ No newline at end of file diff --git a/index.html b/index.html new file mode 100644 index 00000000..31ec908d --- /dev/null +++ b/index.html @@ -0,0 +1,2 @@ + +Ming Language
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Ming Language🔗

Yanying Wang <yanyingwang1@gmail.com>

 #lang ming package: ming
LISP spirit embodied in chineseoid characters.   (中文版)

    1 Rationale

      1.1 Lisp and its parenthsis

      1.2 Chineseoid characters

      1.3 Character implications

    2 Startup

      2.1 Fonts and Input method

      2.2 Code highlight for Emacs editor

      2.3 GGFSM

    3 Naming Rules

      3.1 Characters

      3.2 Punctuations

      3.3 Phrases

      3.4 Hybrids

    4 Ming Libraries

      4.1 kernel of ming lang

        4.1.1 ming/kenel

      4.2 􏿴

      4.3 􏻿

      4.4 􏿰

      4.5 句

      4.6 米

    5 Racket Libraries

      5.1 双 and 􏿴

        5.1.1 Naming Rules

        5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳

        5.1.3 阴阳+-

        5.1.4 􏿝, 􏿜

        5.1.5 攸

        5.1.6 􏼏, 􏼏*

        5.1.7 􏼓, 􏼎

        5.1.8 弔, 弓,弓*, 􏹂, 􏹂*

        5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓

        5.1.10 末, 􏹨

        5.1.11 巨

        5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?

        5.1.13 左􏸑, 左􏸒, 左􏸓

        5.1.14 𰂋，偏，􏾜，重、𠝤

        5.1.15 􏾛、𠆯

        5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇

        5.1.17 􏹈分，􏹈巨

        5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎

        5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘

        5.1.20 􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组

        5.1.21 ming/racket/base

        5.1.22 ming/racket/list

      5.2 􏻿

        5.2.1 Naming Rules

        5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?

        5.2.3 􏻺 􏻻 􏻹

        5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒

        5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並

        5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝

        5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇

        5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝

        5.2.9 基础例程

        5.2.10 额外例程

      5.3 􏿰

        5.3.1 例程命名规则

        5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉

        5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳

        5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?

        5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?

        5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘

        5.3.7 􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入

        5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰

        5.3.9 􏿰各、􏿰􏺆、􏿰佫

        5.3.10 􏿰􏺈仔?

        5.3.11 􏿰巨

        5.3.12 􏾑化

        5.3.13 基础例程

        5.3.14 额外例程

      5.4 字

        5.4.1 字，字?

        5.4.2 例程

      5.5 勺

        5.5.1 例程命名规则

        5.5.2 勺?、􏺏?、􏺋?，􏺌

        5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋

        5.5.4 基础例程

        5.5.5 额外例程

      5.6 勾

        5.6.1 例程命名规则

        5.6.2 勾?，勾化句、句化勾、勾化􏽁

        5.6.3 基础例程

        5.6.4 额外例程

      5.7 句

        5.7.1 例程命名规则

        5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?

        5.7.3 􏽁化，􏽀化

        5.7.4 􏼅，􏼄

        5.7.5 􏼃，􏼁，􏼂

        5.7.6 􏺕，􏼭，句􏾝

        5.7.7 􏼘，􏼘/以􏾝，􏼅𰅡

        5.7.8 􏼩、􏼪，􏼳、􏼲

        5.7.9 􏼥，􏼝，􏼛

        5.7.10 􏼹?，􏼸?，􏸶?

        5.7.11 􏺔，􏺓，􏺒

        5.7.12 基础例程

        5.7.13 额外例程

      5.8 米

        5.8.1 命名规则

        5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?

        5.8.3 常用概念：􏻴?，𥥪?

        5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?

        5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?

        5.8.6 组合表达：􏻲?，􏺡?

        5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘

        5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐

        5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句

        5.8.10 数的类型例程

        5.8.11 数的运算例程

      5.9 􏺃

        5.9.1 􏺃，卩?，􏺃?

        5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵

        5.9.3 转化：􏹲，􏹩，􏹴、􏹳

        5.9.4 基础例程

      5.10 Conditionals

        5.10.1 丫，􏸣、􏸟

        5.10.2 并、戈

        5.10.3 当、肖，夬

        5.10.4 非

        5.10.5 References

      5.11 並

        5.11.1 𰅰，並，𡌶

        5.11.2 References

      5.12 禾

        5.12.1 禾、禾?

        5.12.2 入、􏸗

        5.12.3 􏸛，􏸚

        5.12.4 􏸘

        5.12.5 Base References

        5.12.6 Additional References

      5.13 未分类

        5.13.1 同? 􏷇? 􏷆? 􏷈?

        5.13.2 遍?

    6 Appendix

      6.1 terminology

    Index

    contents  ← prev  up   
 
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►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.6 勾
On this page:
5.6.1 例程命名规则
5.6.2 勾?，勾化句、句化勾、勾化􏽁
5.6.3 基础例程
勾?
勾化句
句化勾
勾<?
5.6.4 额外例程
勾化􏽁
8.13
    contents    up   

5.6 勾🔗

“勾”（keywords）是与勺类似的数据结构，特别地被用于例程的参数中使用。

5.6.1 例程命名规则🔗

见Naming Rules中关于化的条目。

5.6.2 勾?，勾化句、句化勾、勾化􏽁🔗


+

勾为活用字 +

  • 勹：工厂、容器、外壳；

  • 厶：参数（通参）；

  • 勾：在古代通句，在此借用为表示勾是和句相近的一种数据结构；

Examples:
> (勾? '#:keyword)

#t

> (勾化句 '#:keyword)

"keyword"

> (勾化􏽁 '#:keyword)

"keyword"

> (句化勾 "string")

'#:string

5.6.3 基础例程🔗

 (require ming/racket/base) package: ming

composition

勾? :  = keyword?

composition

勾化句 :  = keyword->string

composition

句化勾 :  = string->keyword

composition

勾<? :  = keyword<?

5.6.4 额外例程🔗

 (require ming/racket/keywords) package: ming

composition

勾化􏽁 :  = keyword->immutable-string

    contents    up   
 
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') format('woff'); +} + + + +/************* Start Cooper-Hewitt license ******************* +Copyright (c) 2014, Cooper Hewitt Smithsonian Design Museum (cooperhewitt.org), with Reserved Font Name Cooper Hewitt. + + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL + + +----------------------------------------------------------- +SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 +----------------------------------------------------------- + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others. + +The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the copyright statement(s). + +"Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment. + +"Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission. + +5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE. + +************** End Cooper-Hewitt license *********************/ + + + + +@font-face { +font-family: Charter-Racket; +font-style: normal; +font-weight: normal; +font-stretch: normal; +src: 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HcEYYzwdbRnqxXFIKtMWyZ8XS+uhxfyC78TwnZypy8O6JcqaPnyU56gXxeWqpRFQOBEfuBAmViYmV7D+DwjdqX5UGnXQSTBIL8jJYD3glM0/A6RXzSx25B84e+Z8k2hnmBS8gXqljvNyq8AFx0xOGaf4kSell4Eoq/sgvX87eJwvmxSdBORI8nTWAhxTxDke8YuRBmMo6k+LzSE7IDf0P/BN8GNXkyFMUXIjgHDrbCLLHUnzuwLzdt8xZs2Te5jufAW0zFi1ubV80CNpOds9sXnjqeF/n8+CpO7ZsO3p48/YjhC6WtwDJqxzn1eHkwuCZ4yXjlgzln0x/krQcSPZs2bFBbZPWdKQJj9RW5kdU3r1kcDXvd0gnwA3vrmnCtJlQM3wDPoIkRhGVn4Uyio+4YDEgUY6kGFInjNVQAnABlldYnPOrBvs23FZk+eXMbbNuPMDevLS9dWDJjLYBGCgQuVWtM3nK3+9YOaeiqWnRqc1nQOmtR+7YcuvhXyGemtB38HdoPBbKQ6I41lGyOguqs4CfBADGzkdB1gKinFItj/DXgLxVax6q1UkUCoE03y0usJYxYqVIEicGqcEauayYvUzivFjd0tRYC4/NbN+llduUeaWy3My8eI1QLdUKTbzmwIdh20CKiWd/AGVVwXJkG35Ub/NRrEd9uA+7XJgrY+cxk8MSEjhczfkbZWKrNVCV70uwpBml1ZsWd/XUyiUZNm8pY07szZ69f21/8uM3SCUeM+PPiFNK1GJ/84zl2ccHJeiSzpVKW5IL53YNE1+QoYlpQfpRkHhFQnZEEXop0MtgWZVceoO8jP1zmfwGmawKpYMl4pGL4fFoxUsQDSWKq2dG624cRMhIRo1cGU5k6IISaIKS+lmt1dLSS8WS9btvK0uXS0pwoJOwx3s75y4ELXIBysZy9uTOm1r1HeVgNg6sIPTPEAsPIh5IXh7mkQ64Xh25KaMCiqLE++5JDLxb9v6CS+WYmhTXZVIkpHjkKOwXcX6PUizvUUQDZT83j/FwZNxjlBLBpeMlQBCMX75/wcFFovK/ldzRc+ev4HyJM4+WsD3gI1YOTkhETqdk5G5IsYQmdpotUWNX+8ZiHak+IsUHD7UL6YH44U0JvovBs89WsO+X0DfuFZR9Uvr8GaSAPL747BMSOi8v/kf2LTE6iF+6IBfk5QlBItAKuR4U1zcrEa+UsA7CvGhexHY9PCYRyAsSduyLD/zNf05Wyb5dIXu2FCtExF6RJeY5E9ln3pXwXS6+5HkwR4jktyKaRi5/4F5Dh0Mo6rTw3AfBf7HHASVMqmUFYN5/KWQ18Jhv5P9K1v7BB+2iJZxOt4fWg9vgeVzpYvtBvZpuOxAfPsx+Cc8XjDA+LPd3qHe+zPXOqIPT0w3gONc6k55zPSiI3C/XodZfbwYS9j+HD8PzPz7pg39D33kZnOFlor4L18kKPUPrFdB0xf3NN+6v4Svs53/4A1ByslAhJfgqNIj54IobfMWKftXezv2tA5pQILrMrQGo9R3reyrh5XNcfW1CfWMy+BJFPCNXdWHv84V7XH12uMTGfqFnPOEWD8zsrS+q2/iI3alKn2Nf1z3YJvacFs9tNmUbC8vrCqfXMllel2CewVYzvYcdkfCtvfeqXA69CfNLCIWgHl5CtpyOpZGHa2aBBTByvUcx1qUezWsp7Vh2l29l+rLa84mqrhmNValGeIn9L9tNCx6rSYFwNzOyCczrnTE7Ho9RH/oWvAG+wFQN4xovnNLHqhvwRs+coS0HVjTMNml1aVKht6m9uqze5tmxdPhA0JFlVCzmDbTNWmgjujEg3ZQiWZVkTRIZMlmo0HvGSqfUscIJ3Fp3m13ifqqzesbSfSstboumbFpNiQ7uNjlG5srirAVlW5fccFDIXg+apQOd7XM5+uBz8BWKP1jqqBWFTFSiYZoMlwdo8M8Fi5dv2zXUt5T9fUfDNKvNbC+A6+v9O1cM7189pOB19Pw7MVhaVxquiY7AT/D6CMlgSOrRxoQRZEK8zIQGoXFJysoW+sot7qIeZutWWYWdLwNdxqz9DWaTzqzsMC2PDwTYE1K+HVlNdoiBFqRbI+WigmTdVB/WrAAvj0Ytl+BO20fW4twuOioT88ZOGXDo4FDyyh6FMJ5XuWrg0Orepb48sS9QurKvospotxlybLYBc7nLU+4qAm8XGpm6uUAlE0kT5EXFdYMNQYc/Ll1td8qbfU3djqC3oKy8wBNkW/R5uX4fo88ShuN6PZo3TcTCOPvFQYKYVuQTUs6JvBVFO8SeKxaJ1W7wS63fuCV1yMjeKr6P/UoaZ7PFSf9dkC9nz3DnsInBdoF1nAPfRv0iqh4VkeYz36seW8jSe47rzGatxpxrzpMWsN97JeXwbbNGZzGXWj5ip3PkwCwT6d0eDZmp/yB6xM4UxM6UAtJGEp2qvR5exJqzjUtrDpmTtZmz8nJdmvRenTQ3W2O2Bs3gDiaPHW4byjVYGE2Kgd9luwMO6cwWncZsxv6RhBj5kU4yx+zCLXf7ootThhSnqfmSusPm5H209Y9lw8f8z65yil1WPh66g9X+OpFvtcbfzLJ8K/PUCUmclcQXXENjnxZF00ak1EWS2kNWaZFVIIGNTN5It0xgJeuYKBauRHaPi8SpZ2fSXPnceFULXFnt3yX2fG2RWJzZ+RLb57kSiyMnT2K+4paU7clbUtgIHq4cm71Ct4J9Usq32uLkX3pcSZGZRKp3+PEabAauAcB/sEzuaDYxhNK4JZX785YFthN7QUz9EmuEVAx7ocIx5FuoR/E1kVKF+86wqyRH3CMfmFZu37N6xc49vxkKBj0FQfDlrjXLd+xcsWq3Z7C7Z9HCP2A6ySEDzEN01HgdRB0t6Vh5SvPGwqfaK6n6ha2romVo/1qdU1oCmrTaiuk1xVrHu3Y0my6TI1CyZfCG/YK7JXF2oKYHZ03rVBB5jdCP+HAxT6Aa7dxGoxMdFU1HeFIXe6VUOgOF6pOHijKylM1tDeVaI7jspkd+L4mz2eMkLzg2DdyyN8Dvn9feRRN7QTkcnEA6T43SOe0lZTytj2g70yOp/WVenLtcEq/NFucnW1Lt0pqwuhf6HFC+MyeD/TCsZ7x2cAUcRjaF93XGVY5xqtG2jtMOqjDDEQrsCghF2dock8mj19gV0qH59V3FiULGZrIlZqR4ZEXeRV2N4N1bGxJl2oxMXZpclpmiVzXOSj3YkahidDK1UpQSnxmwlLdxMihCP4B+2EGiAjYdtwqv3hJNqcJlYHtZfX7JwYP6PEPGzHK3NkUE7jKaB9cHvvOZ6Txtssxmw/6E8k41moNUEr/I/fJx2acY4Mhldes8ZXvtkvxneqt3lIEv2Vf8HhkoQXGgCanFV/rg9wxXO32PDCgZfELqR/eE+lHA5icODse7zxU9NPvuAPjEzhez7wG9hG+302wz+K0A3R9C91nQ/cmj948rHBEV8K0zseX6/qWdtOeZgu0Llq3p34hpocrxIuhjjwKdRMDRG2DvIDTxngdUIJqZZF8C13MMiURhr2NoNTk6gOQLI3/6TPeTvltu8/xDH9c5z/0H/+5dheATsyBxzYYEq52+750EK5Mg3LpTaLUm/vbFeDLmH5G/pIDLuEMcP+ZwWEVR1cdj4li3cGhpgudZ73M5/a4cV/7MXMPpALhsEUjYj0GaVGCxJLCWmT22TGt6QDcLnEvA82xHb28i2mTdgZSLqJ4GpAO3A3hcLCwDu9lvfi8VVQbBsKTtUD67VTbnBGcj9tBacBI+h/f78N5VJkCRPgsfktWqbK4hxP2lB5kqOvO6wck6V1VjQ01ePV/JXznXXa5UVrj6r4fPuaG3qmRam1jU3lhX5wEe0DrYUldUWFjT3t2M+LyO6kEj/JHs2cj1cmCcCX/8MYX3KZYhiGR4HMmA1/ZItUHiELLVbAGWBwmh9wQBZo9yOZaHCarW9LlKedI4Zbl77kokSb2zuqGpwl0Hn2ua315TBAqL6loGW5EUnrq6pjaRuG1aSZUXIl4zqbfhP8HNeB4A8YE4vI+CXT2Lj+wa/rO/w+oUeTMthqSmZQMdRTPobGmWIk3UMggMVfI4RYKI39xVnQlFgoQ4XgMXU+eFvh3bw04aq/V4Crcisjj+MreHfdCeb+ebq01QGd7EZgvBAvaoIUlvtjJpiJY/dBh8C/uRfLqoHWG93IVnk2wJR20FJ6uB01df5ZdqDTk6aaCg07ds25bhgpIyL+zvh+n7e5PYYengIRVvYDB+1+CSXYmFskXT6welSA8WJHgG/DXZowjXo2qkcSUK1G5dZBfLo/e4oytXcFKmKvHBx3+3ANpTgYWVFtlBdRVvzZKGbrNeDL5dxe8bkpsDewrj6f5aaWenIEUQyMq4aXtFXpYRx3LqPpTzz6I4glfksM59ajoZsaTx9i5DMz5jvo/xoQkmsdLlfdxTVe3ps/czTL+9z1eBzm19DNNnA0Ptq9rbVrfBmSZTn63fs93Tb+s3mfrDp+zXRe3tRf7WVtzvoHF2oX7HOL5Pk4LwZv5ou4aGyqCXA9CA9iZs3hZf8EbBgi3HPe/8WVbN/rlS/s6fnEdumlcc3b897prvvI/r4O5zznedEaIxvh6agez8qfB+A7J0BWftM2fCp9i9YJgV4XfObuyhYXABvk55qVKSJRgy7qw4Nbf9H65jHcAdXt6285mx3SNSwqrJztGvPUJnu1co0SS7pLUVpYX5zqXzmltBkdhhs3jpJFlOcr5kzereoZ66W9prWlrq4BPbW9Nt2RK1VJmYQudM9+R3qtNLzJUztDu6Um3Z4mSVRCFKoQuXLHa7p1c0s29oqywlhrwiE7e2T7XBCnA3vEAl4LX9sf2fKPTG2nyDId/4FXpPS8+BF4wZ6UZjeoYxfMRr+sHQa7wC+FdKjuoHP6lEyKjp0b0LNdnPUIe3N1Cu4hwhsuiOvYEUuShtPt2w15tfeP2yuw6tWL5s+bGdfT29fdt3zu/rdayb45Fm6Mrb28o0Oml+eevirduXNcC/Fvs8B6YdWbNs5fDdx1attC3s37uvf8GCwV37+/Pyt6+dnjTQ1j4g7diQuvmNzaS+BpXgAPIV0pOCKXrSTDC+JwX1PouvZ3O2QSGv0s+taQ4KTVuF1UVZaZlg2O42FTgzVEZ9XHma1llQ+biQp6kalup1KRlkj4nygoPgAdRji/EeE0o9jMfAHd4YGjoFVuC3B9oXLmzfj/6RA4nl66lH4QvgJMUn1uTB+1wtbDw4eeVEC/p7XJTOdVQj1TGV1mVRSue7yV5LQtQSHY9bosP50Cdn1CpuCRIFh8nT0L1gB5qGbsd69uv37lyTqJRKEhL5QigEouwcvlmRlyVRxot5EguTWPiyy/NLWrzI6xZPnp6F7OXewQUL9+zrdXo3DM1Ww3iBWKAQqAUZMDvNIFAmpCvN8Yx2f6IhJxF0igT3gjbGQtYZ5oB74L1knQHFtA7QwD4O760hNqwCvwEe+DIVjzuRiA3nJ5P+Fs/fohvaZ9zQ9g+PwejxGozw5RkB/4y2G3vqPZ56L7evSMMXYBOqG6RY29y2OIofHhxOwogJ0DzyBGy6t+Ve9J8VoXCEZNICEeiG9+E6X+G+Cl5g+PciE/vccL/FqExKSUpO7agqm7YI1HmGHS2LPSYr3ZSoVjCesnzfIJfHMwAfzIInKQfBk0yFF5gEF8C83guULWjz16cmi8SqdIXB7TRL0pV2tz0HB4jktNZN08DFOHdufo0tK0kVV5aQp9fl8ixGvdZE18Srk7KdhdY6IsNr0AQe5NZ1gJvWA8f6wxXcwg4IvRpyQx14FHXsFPLd8Fal16dw88jmpi/Iw5YmIJaIX5I4ImAQ6DwLnMIcrcUl8i70JZiNqXFCgVCQKBOZKtqhubMvMUEWL1Er1Klp1jPff2RP1uTkF1Ah9kdLEuoM1SKhVFyQXD0wcJ17lb9AlaZOnnVHuDZ+DLyM8gJBNahoOQG7YFcG/PPFhdXyz1bBYxbhSA08xx56ZWkvuaccUNRFcIxggsa67AhGBRxDB4e93EG++1AoDVyPzlCXhRwnau2HuAuagY/y+ImMucxnsJoVQZtAVghMOVZvoiPeoMN1Si2ykxo0n2JSc0eaTob2vGOhgx+XxwvmwZPsASHMyooTAhMt1iCbzEBx6jCKU4kE/xart/Pkv9+xcNGs9sHFG6Y77CazA/66p23a/J5pLb2G2orK+trKCkTHguLPkdH4o1bRHpQ0yYH596lTQ0PnH3poaAg8MBp88AHHl6rQv3k3whPoLjmyb81EyTGKLNyDYFfx0e4/5dL+d0viBbOgo5qdUQNtxbW1defP79oFT7APJMCMDJ4QKGlRRs5ID1j3mW31avudR5B1VaEE0h/mY4vFxTDRs6IcawJPcPZRkZF9fel8c45YrTSltpaXNCyYzL7Qudja0O80mOlaoSopxxlwuntITE0jYz6JanAXVYzz+LV536jzTVbKW4XB+dMKa1KVIrEyTZ7jdJjEaUlWp0WflCQ2pTavbwBF45UF/hXnYJxluZkyZVxxvE2nMfJMOdosA10WnyzX2D3myqPR+oOUMfQteIJg/bSRNQBuuUiFzcQPfNFIGh9IRoVq0GoBZfsrx5AMN74JH0Tlq81WanlpFMngKB1o/WUlxsFw+/+8e8j+f8oUCACeW62PgQK4iNeDJyMB4Lpz10yXjkWXxuHoWuimX0VeJibpwc7rmpoam2NT37BhlP4eQt88BX3UeHLdTnYmauGIwaJgEYOdw+swGXoSDT57rrZXwsRiOyArDNo9Qnlh0OFDdhrmv5Hw55BJsSSAsYq5GAI8M66+i8G+a1LJNyrD8yTn5lB4MSBiez4u6XrzjXRMqEhib2Vlb8WqNKMxDZGrnCQP7/kql7Oqsl/OFBiNBcxnMWAkFAxdCO81G8n4Y8MjuF4gzBqDKXluIIAF1VLx02skwqIioWTNexJ55ciVYtkHi+jAXwKgNrHwzqefhsfGIyecfNkjj2LuNMyW8gXsS2SfOC2MJ8n/KUQJ7Y6VM66CM/nvCekkJu7k/LgkQ+ogghtBdp+J+82rI0dQH6KfAj3CTkc+GxtCwrvn3M/kg913Cj7vIBe+CptxfHKuZTzMlKzYlzifnpIdcuswNsmL/CoT2bPrpzhSsdxrKv4ro31sCik2TnYzpANc09QhHUjxTvJEJAoedRQahT0fNXMRSEp4zvC+Qu9UdPAsRdHpi5qZcWQQHbwe30DoJMeiQ2YhitT58YqPooZVjnSO6i8wk4dxx6njZ5mjGFPL0UP+JJZmR9nE1qk0jNdKIiuEYRBGZOHAg8sjvJNFYFsoeJ96+uwj7N8DstmzZYE39+wJQ7fueRgx+6H4XRmf/qyY/SaM3eJwHhdQbkjF1fvUyJTY6WEyXuWv47PD1eArvD3j0gTSLcGyoLnCWJasq6JZ8MTFRLT8gCwqNqoFuM/9XB50bB7ZyNyumYfuJ8fBTMFmM2eKU3LiYgDHaw/hlXdVXrGnMCZr5fhZnEIEzfj5iwvLspHIkkO6wamliZntYwrz/6I9ZgpRFDH8BlC7KRn8P7CSPFPgU+OlPprBa3wnPyy8eLHww4v4HfTjs6IPPyy6+GEh0ecp+Br8AlUqGWRdWk2HpSdLhNxOd3jXR50QLrBhjbNw39I5+1ur/fbCLWcPN1Tn2gId11mBif3RVT5jCH6R0Tv823sXdOgX6noHnrj72axa46GbhzvBbrbcfsctZJ2HYGeQzWhGEYNXQc9g5EJsBM39uH69OooGG+nP5Ic76tj8wCZc2P40Q2r8GI3XwpO4xhRsdeGi9yc5k7CN5pXjvRHxzsUV0E9xj7myGFuWP46rR39CoBiGyuGVVyK9pOCVmSkRPXgSYqF6wIrwFMSE9nDKh7jbggGCP8yOIFKjt0sjkDdFpNzTAn25rHD31p0blHmycpRP0EjfTEm860hiGoGjeuYvGljFKx7Ds7HN8K6DkPhdUuhbeB28TPARnKsQnF1k83HcirI3DCAf3WOWh5tlmJaUYHEmZMhTy4uWzCisC8anZBltfHmiVuYQVhd7hK7cdXHaSwXCg+tmD4J3oEknU6ckSpny/Kq5yn1zpWadWKUUqxLS+KY6R43Yo84P/pvdLOVb7XESsHrv8Z5WC7YLgvlBsuL1VfM1o35I9zg18udR5IVXRf/A4+f+v3krcIc5Ne9cZA0/k7ftZ42buSr7As4xf0oC3JeGZXiLyBD4GeOP2alOLVL3+Gx2ddH2ju9dwzJeIDLm4d2Ca5Qydjc7tZB7oqPI1UXcFKO/5eTkSVF9moTkLBxbW+GW4PCOVr6CE3GKAdBhyX1A6UQdb2VVg9dgzGduxiJOFHsDkdnPk1Y5XVW4/c1HnS9TwO4hgk4U/y4id1a4xvsafgC+RFHYRRVgbADHXR3uOFU61ShEYLyciohmfW4coP4wy3x91/y8wpYZPYC9WN5aVdM5b3nrgo5A9boTNqcsZevsKoM2+6F7m9rBbIO92uddtThOFrc24Kn319XXBpuQeD6ngH3g3hSHIzv3c8kG8nxNWhg357w6ci52hxwbT/f+hOZ4Mr5u1fjOmMdh4ZBvKrgngK+GhiOBKBYirhaFoBioOHD6HJcPfwYPEnBi8TiAQs218sj+KR5cYInFJo8LKbE5cfk9LszrAuFlwJXw1bjFds5YvA3RbhlLgl9MckaSz0EOGrcIo0wU0UA4PF2nIiA4C+5V/icKAAcMXK7GvW99zPvxVIze/zDuQ2LcjzEqBOMqImju8fcTNY+SaAr3GBOocL1u6D+ITgnSqQj1zroJlGKqcJRu/LiafRx1/kSFYb/7BqbDT1Ftgvc4jbjSdkAf2aCPWs5Wj/ofqhjA7CzTDSlLtS28Aw1LUvuPb1u2eve2RbmFhozS2mBhQTH40JlXYy3NidN7G4IW/zOP3HRw5/DQtqCof978hUsH+4meCd4N5R8NfibgpxBvsdNOLBzclrF8o5svZa4Ci4NvjW+hiM98C/Vo7jBGLnVKlBz2+glIOfYjbE4T4XLgwLmfQZcsXk+gW4GtLBbZ8TQzpqbJefYEsifClheDMqkNONpvEdqWqWnHLAUmsBKPn4/JLDdMyPkc7wuEt4asmMfkHjuKTGD+3ThPmMR6xeRczqPWU3b4AmTI7yGoo3dJMJqdP/oJ3JOBci5jAiUjTwADdw4ZU0Y6Yywwvd3ScjdDTpnw/J9CY/KT+KiP9LWx21pfGDoJzpgdwzuuq3F6c/P7d61BeTIzx1uedOH+dHtRGfSntFf/YuVuZXd6V93263dI/ckDc8qKRtg3df1zws+rEuweso9UDtk2FXoPB6WJCL4VxJhjoPiA/tzPoY2bpknowHpi0lMRj6at/Sm5mcnkP4tYdmwG4XVEjscFgkeyX41LzE50Is+D460sFmfepLjL4QLhZW4l7CrIQKzEKdCBfqzKq0AEgWW09zdAF7w0AbMrnxKzm+oT1x2yYszuvht1TmkpaNZqK1pqgjo7xuzyDGhsb8YA7ZK8xY3rQmQV6ioji6nc2EO9dZyKrzbkxMk+zT2LgDIh+c2N6Dw6mjLHZUlu/Soh/HxjaqRjRxkxaqcIeS7q2NOBtljeo7nlOZG0gaWL5dVp8yXkSR/JI2W2DvYN2Y3nUYf+Wp6jHAi4Z1NDLHqrJc9yIFkUmGhklQGT1HsetoJmzXXSIvarIklVRg/6KvsXn62RfVUmsFoFkktOewXIZSLPzFzhvQ3vR30Hxh6MJWjGM9UeV2TviaCn7urrb5rWB8GhKrH87BpJvN8fL139rkReydZO39BWXtV0//ZtcPD2Wzb/6rZbtgzPPdqqwFsQNXL2e9ni3/YutdiOLrzzXDi/8TBWW0jJ8bNMIIziQ8bEx8W5gObrRh80ZMZqCmJ/IM3t9w8WFoHF03NdPOBkXwVttQ2Ns/qHqhsXDW3ZunRlZdWCrgFwbrC7d3Bgfs+inaINNeWemfPz64umTds5vHLXtOnXL+H0QZ7l492Neur8n/c0H8qTPuRn1/RQX3NjU9N1ndfybB/vwQ0bznHPiV4Bh+HHnFzXjApnOKGuCRz+PSfVNWHEvyBSRfbqV/I2UikoLtiusvoV01NjLYc9NXE5Lvay2OSFOMg9A4fmjuwVTXwKTsGpYvLDcNO5cY97Jg6c5gYIOXw00nt4/2k8QhpwNCcApdk9HMVowDT8mBAE1HxoAgdRzBZwz6+h/PNaeCn0crgXgtQWmA1W8KQofqiiMZK+qOX3l/qrqvorV6czTDoqHEb7eDnShsmEtELiz0xYBO5ENZiK4JRiVVoLJoABJtaz+LnI58FXIAvjsuQ6lQ4/iweyuiJ/O8/7lPtbMerQeJ+enz0bX3eBXdTf4VnS/agJOHis/HpJNRcEFIyGcTbBs1mF0xIFKWkapsBREsai5aF73w3fy+A4FPXzHlXkXqPG5GwGu7J8rUJBSrrGWJAXXMTdqwu1Un+kNuJ71RPv9SWje5MM6N7Gh7MKpycKkjPQrZgtxPKCpwhPXQyJDZOGkDwPFCcZNYyrCRjRedRwpifyVVmYbumADn0SksEVOkoGyLyisYEnER8pqUvCEkYEVE8eLWKDSKPRHhwdeBMaOOaiDBoL7aWLNESDyiwt/jSIeeSEWsFDRAe6GFqYdKGQo6wdz4TTkBKPBDHRZhVNC3/C+gLU7dQl8ATEvyRFJY0+zHU7RjnOuAEU3NDeHvB34JjeiWL6AfK7TPhXwaJ/m0kX8/S+CBpuaeTkugm/4TT+QFE0/u2xuP8e/e0xvDvgoNxT/f5Y3OjVnNEzJlvmdsm0k3+OrAbMJRfAZ/gw+x9VVdVg71V/mYw79lSyZ0A9e4azST3lpV4neLgIGvf1oaGHIghc7jtG9J23wt/hoHLGaJQcyfnYsRqjfrdKQHBcx0Z60JwvA3tRv3E7lzkV4R/VIBhbDw5XBrdK7cPxOHyN1jPhM2bZJ1k0bc6+WW+maQ2gVhT5l2u1KzNaNdOy5mo08PZ6K/8NQWqq4A2+tV58/28kaYKXBakp9IuXL7+IL7/Cjzw7DT4GH3MxQq4DH7Pp+EVsXoPe5sDP0BjxE3KMIBO4fWOYO330I3GjvzrjG3tCEHT35Lzrs0k8Ibf0BVl+yCUtK+vxlxotKqMmw2gqYGB/i3VlIJ1tCNde89jjkTNjVtz2Roc+MzdBYzRlZplM4ef14ACRJ/q3uvQ0kUwVQx41+M6ASqlvvLIcTbdp27awEHP8NeUK+OnIbK6mgvWGVsvqQGAc91sbXU7qfwELJak2AAAAAAEAAAACAAAOquycXw889QAfA+gAAAAAzgMARgAAAADWN7KT/1r/FATuA8MAAQAIAAIAAAAAAAB42mNgZGBgvvJfiIGBlf1/1P9olncMQBEUcB8Ai7kGe3jabZJPSFRRFMa/cy4R1kTiWFNmzkzjU2eMeiNIhmQoGcWUBTOmJFrMopXVwhZRVvRnEdW2aNcq2gj92baI2QhRFK1a1KLNUDCEISNURLfv3kYR8cGP8969551z7/cdmUQSfOQoSZECJiSPtH5Bjw5in7mIQMvoxlOkZQZjJJAquk0/piWJuBxEK+OAVGyZ+R3kLAlJhmwle8hucqS2lmGPU+QAa1x3dVyUr0iZ+8jpXbugF7Bdr/IMbxkLpANNOsvaP9EiRfIBEb2DFo1jm5lij4/kB/NzPrbrI8S1B706hnotoVEv24p5AdUrgBZZ/zh2ykvc5pl/MWbMN7zmnUBOaIJ9+lEnn5Fi70AjvO8we7Vjhw6jXrLsn7bPNI0GCREz0+w1jmb+E+gxbNb9zH+MLfKKep1BVEcRU7G/TdxajWK9GvtH5rBLvpMq3jP28f4jTndq00s6dYK18jyb26/6vLyZRJ88ZO8SdXKauW+eVw5jk/fiGhKkmWvvdMC+kQqi3pcqZrh+SJ5zr4ROcxODNZqoeZvXexXMJTvrPSjUPKhB/Td4D4qIkXX0aOOS/ivgue75d+fBcpwHOST0Bhq83qtgQP2cB5H/HiwiWbvgPchaS+Z1L3MW9V+B08W/Ow+WQw/oVaP3IuvnqE5C+9fMs+848zk7zr+lWZnzHpwmt8iImxXODGDRRUKSlE/oIiFp1SE84P7omrUIuJcibXhiT5oEzkuZM3iOMzOF+D9cRMVWAAAAACoAKgAqACoAUAB2AKgA7gEoAXYBjAGmAcAB8AIIAiICLgJEAlICbgKKArYC+gMWA0YDegOSA9AEAAQgBEYEWgRuBIIEtAUWBTwFeAWmBc4F/AYmBlgGkAauBtYHCgcqB2AHjAe4B+YIIAhuCLAI0gkECSYJUAmGCbAJ0AniCfAKAgoWCiQKMgpqCpYKwArwCxoLRAucC8wL9AwmDFQMbAyyDOINBg06DWwNlg3YDfwOJA5EDm4Ong7MDuoPHg8sD2IPjA+yD+YQIBBaEJIQqBEEESYRfBG0EdAR4BJYEmYShhKiEs4TEBMeE2YTgBOWE7YT0BP0FBAURBSKFOQVFhVCFW4VnhXeFiAWYBagFuoXHhdSF4oX1Bf4GBwYRBh+GKwY8hkkGVYZjBnSGhoaNBpwGqga4hsgG24boBvWHCwcahyoHOodPB2QHeQeMh52Hqge2h8QH1Yfdh+WH7of7iAqIHQgoCDKIPghNiF2IaAh2iIIIjYiaCKqIuAjFiNgI3ojpiPMJBAkVCSgJOwlMiVcJYQlliW6Jdwl6iX2JhQmMiZOJoImtCbmJvonLCd8J44noCeuJ+4n/ChEKH4AAQAAAN8AVwAHAAAAAAACAAAAAQABAAAAQAAuAAAAAHjaxVRLbhNBEH3BM2A2XiLEauQNQXJQbCJBkhW2EhGJEBQjEZb+jOOR7bGZGScKCw7BCViyYs0JEJ8LwAZxAs7Aq+oaGwcHCTbImu7XVdVVrz5uACW8RQEr3lXA6wOGV1DiyeFLKHonhgsoey8Ne7juvTbs0/6d4cuUvzd8BS+8b4aL2PKPDH/ANf+V4Y9Y998Y/oSi/8XwZ5T87w5/LeCG/wOr6OAWAjQwxgRnSBDhGH1klFWxiXv81hRtooYKpXVaZEj5JQjRwoiyPcT0c1v1DZW11VOXvkKV7uM+9QGeMc6Ue0tvB4wUKmozdkDrhJqYvkPeDchItCN6SvmLeDemdMq1qxrxM+RvOasJ8VjXiLJMI8zzS3nKqBd/qbHsWBUEj4i7tO7ZOaVdm7EiWoVkkN+RXThUlE2svBPlHxmfiPemmpNE7Ou+cQHnBvVSm8zyW+Uq/XlCFhO9WeU3Vn/CJVZZTyvjcso5/BqpoTdcHZK/8iY4Ma9nWlPxM6E0Vds82qnm0jdfrgJ59h3urnfbs66c6HRIlSrGtaX3BEUaOaZVZtUOTDYk7qldpAxb6juwuchnwXUxUgai61n3OvR9ca1c/N97ctMmRSZTGI+0P4MZJ+EwULanys/NfFc1qUbuq04YtnVW5HSes8z0fOIi87Ask8W+Lk7LYl/nmW7xVGZue7Ro8jvEDv+P++rhAdEhZTtc5zm5Dh7bDIc20cvr4Hj96V0on2Na550hveziAI8Y+yE51MnygHiXTI7wmFhYnc8wv1mj13V9mWRftFqbWf2/jP/9lXyqr2Heu8AybOqEBKyW/Hfc2yzrXVatijtcN7TnNdqKdEAvIWdhojm1dP5T1jb32sRzSiLGF37Dn7PnHCsAAAB42m3OR2wOAACA0fd3195q7706FLW11N57b22pqlHUFnuGSDgR64LYM+bB3sSWILF3HHAUatx8l3f9BPndjyi9/K9nBIICwYKFCBUmXIRIueSWR1755FdAQYUUVkRRxRQXpYSSSimtjLLKKa+CiiqprIqqqqmuhppqqa2OuuqJFiNWnPriNdBQIwkaa6KpZpproaVWEiVprY1kbbXTXgcdddJZF111010PPX/999ZHX/30N8BAgww2xFDDDLfNQoucst5bi622wkY7bLfcYwusC4QEQq2ywVJnPQ2E2WSnb776bqvdLrtojxFGWmOUq0a75IqbrrnuhnfGuOOW2/ZK8cVa9911T6oPPllmrDTjjJcuw2YTTJRpksmyTDHVNO9NN0O2mWab5Zgt5ppjnvk++uy4B557YZ/9XnrlhNfeeOiJRw446IijzjnksPOW2OWC0844aWUgPBARiAxLSc/OTI35Q2x4VkZadHTiP+P+mpBjbHxyUo7JidExf439CXkEdX0AAAFaEgIVAAA=') format('woff'); +} + + + +/************* Start Charter license ******************* +(c) Copyright 1989-1992, Bitstream Inc., Cambridge, MA. You are hereby granted permission under all Bitstream propriety rights to use, copy, modify, sublicense, sell, and redistribute the 4 Bitstream Charter (r) Type 1 outline fonts and the 4 Courier Type 1 outline fonts for any purpose and without restriction; provided, that this notice is left intact on all copies of such fonts and that Bitstream's trademark is acknowledged as shown below on all unmodified copies of the 4 Charter Type 1 fonts. BITSTREAM CHARTER is a registered trademark of Bitstream Inc. +************** End Charter license *********************/ + + + + + + +@font-face { +font-family: Fira; +font-style: normal; +font-weight: 300; +font-stretch: normal; +src: 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') 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') 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') 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') format('woff'); +} + + + +/************* Start Fira license ******************* +Digitized data copyright (c) 2012-2015, The Mozilla Foundation and Telefonica S.A. +with Reserved Font Name < Fira >, + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: +http://scripts.sil.org/OFL + + +----------------------------------------------------------- +SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 +----------------------------------------------------------- + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. This may +include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the +copyright statement(s). + +"Original Version" refers to the collection of Font Software components as +distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, +or substituting -- in part or in whole -- any of the components of the +Original Version, by changing formats or by porting the Font Software to a +new environment. + +"Author" refers to any designer, engineer, programmer, technical +writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining +a copy of the Font Software, to use, study, copy, merge, embed, modify, +redistribute, and sell modified and unmodified copies of the Font +Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, +in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, +redistributed and/or sold with any software, provided that each copy +contains the above copyright notice and this license. These can be +included either as stand-alone text files, human-readable headers or +in the appropriate machine-readable metadata fields within text or +binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font +Name(s) unless explicit written permission is granted by the corresponding +Copyright Holder. This restriction only applies to the primary font name as +presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font +Software shall not be used to promote, endorse or advertise any +Modified Version, except to acknowledge the contribution(s) of the +Copyright Holder(s) and the Author(s) or with their explicit written +permission. + +5) The Font Software, modified or unmodified, in part or in whole, +must be distributed entirely under this license, and must not be +distributed under any other license. The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE +COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM +OTHER DEALINGS IN THE FONT SOFTWARE. + +************** End Fira license *********************/ + + diff --git a/manual-racket.css b/manual-racket.css new file mode 100644 index 00000000..19768b1a --- /dev/null +++ b/manual-racket.css @@ -0,0 +1,326 @@ +/* See the beginning of "manual.css". */ + +/* Monospace: */ + +.RktIn, .RktRdr, .RktPn, .RktMeta, +.RktMod, .RktKw, .RktVar, .RktSym, +.RktRes, .RktOut, .RktCmt, .RktVal, +.RktBlk, .RktErr { + font-family: 'Fira-Mono', monospace; + white-space: inherit; + font-size: 1rem; + line-height: 1.5; + +} + +/* this selctor grabs the first linked Racket symbol +in a definition box (i.e., the symbol being defined) */ +a.RktValDef, a.RktStxDef, a.RktSymDef, +span.RktValDef, span.RktStxDef, span.RktSymDef +{ + font-size: 1.1rem; + color: black; + font-weight: 500; +} + + +.inheritedlbl { + font-family: 'Fira', sans-serif; +} + +.RBackgroundLabelInner { + font-family: inherit; +} + +/* ---------------------------------------- */ +/* Inherited methods, left margin */ + +.inherited { + width: 95%; + margin-top: 0.5em; + text-align: left; + background-color: inherit; +} + +.inherited td { + font-size: 82%; + padding-left: 0.5rem; + line-height: 1.3; + text-indent: 0; + padding-right: 0; +} + +.inheritedlbl { + font-style: normal; +} + +/* ---------------------------------------- */ +/* Racket text styles */ + +.RktIn { + color: #cc6633; + background-color: #eee; + white-space: pre; +} + +.RktInBG { + background-color: #eee; +} + + +.refcolumn .RktInBG { + background-color: white; +} + +.RktRdr { +} + +.RktPn { + color: #843c24; +} + +.RktMeta { + color: black; +} + +.RktMod { + color: inherit; +} + +.RktOpt { + color: black; + font-style: italic; +} + +.RktKw { + color: black; +} + +.RktErr { + color: red; + font-style: italic; + font-weight: 400; +} + +.RktVar { + position: relative; + left: -1px; font-style: italic; + color: #444; +} + +.SVInsetFlow .RktVar { + font-weight: 400; + color: #444; +} + + +.RktSym { + color: inherit; +} + + + +.RktValLink, .RktStxLink, .RktModLink { + text-decoration: none; + color: #07A; + font-size: 1rem; +} + +/* for syntax links within headings */ +h2 a.RktStxLink, h3 a.RktStxLink, h4 a.RktStxLink, h5 a.RktStxLink, +h2 a.RktValLink, h3 a.RktValLink, h4 a.RktValLink, h5 a.RktValLink, +h2 .RktSym, h3 .RktSym, h4 .RktSym, h5 .RktSym, +h2 .RktMod, h3 .RktMod, h4 .RktMod, h5 .RktMod, +h2 .RktVal, h3 .RktVal, h4 .RktVal, h5 .RktVal, +h2 .RktPn, h3 .RktPn, h4 .RktPn, h5 .RktPn { + color: #333; + font-size: 1.50rem; + font-weight: 400; +} + +.toptoclink .RktStxLink, .toclink .RktStxLink, +.toptoclink .RktValLink, .toclink .RktValLink, +.toptoclink .RktModLink, .toclink .RktModLink { + color: inherit; +} + +.tocset .RktValLink, .tocset .RktStxLink, .tocset .RktModLink, .tocset .RktSym { + color: black; + font-weight: 400; + font-size: 0.9rem; +} + +.tocset td a.tocviewselflink .RktValLink, +.tocset td a.tocviewselflink .RktStxLink, +.tocset td a.tocviewselflink .RktMod, +.tocset td a.tocviewselflink .RktSym { + font-weight: lighter; + color: white; +} + + +.RktRes { + color: #0000af; +} + +.RktOut { + color: #960096; +} + +.RktCmt { + color: #c2741f; +} + +.RktVal { + color: #228b22; +} + +/* ---------------------------------------- */ +/* Some inline styles */ + +.together { /* for definitions grouped together in one box */ + width: 100%; + border-top: 2px solid white; +} + +tbody > tr:first-child > td > .together { + border-top: 0px; /* erase border on first instance of together */ +} + +.RktBlk { + white-space: pre; + text-align: left; +} + +.highlighted { + font-size: 1rem; + background-color: #fee; +} + +.defmodule { + font-family: 'Fira-Mono', monospace; + padding: 0.25rem 0.75rem 0.25rem 0.5rem; + margin-bottom: 1rem; + width: 100%; + background-color: #ebf0f4; +} + +.defmodule a { + color: #444; +} + + +.defmodule td span.hspace:first-child { + position: absolute; + width: 0; + display: inline-block; +} + +.defmodule .RpackageSpec .Smaller, +.defmodule .RpackageSpec .stt { + font-size: 1rem; +} + +/* make parens ordinary color in defmodule */ +.defmodule .RktPn { + color: inherit; +} + +.specgrammar { + float: none; + padding-left: 1em; +} + + +.RBibliography td { + vertical-align: text-top; + padding-top: 1em; +} + +.leftindent { + margin-left: 2rem; + margin-right: 0em; +} + +.insetpara { + margin-left: 1em; + margin-right: 1em; +} + +.SCodeFlow .Rfilebox { + margin-left: -1em; /* see 17.2 of guide, module languages */ +} + +.Rfiletitle { + text-align: right; + background-color: #eee; +} + +.SCodeFlow .Rfiletitle { + border-top: 1px dotted gray; + border-right: 1px dotted gray; +} + + +.Rfilename { + border-top: 0; + border-right: 0; + padding-left: 0.5em; + padding-right: 0.5em; + background-color: inherit; +} + +.Rfilecontent { + margin: 0.5em; +} + +.RpackageSpec { + padding-right: 0; +} + +/* ---------------------------------------- */ +/* For background labels */ + +.RBackgroundLabel { + float: right; + width: 0px; + height: 0px; +} + +.RBackgroundLabelInner { + position: relative; + width: 25em; + left: -25.5em; + top: 0.20rem; /* sensitive to monospaced font choice */ + text-align: right; + z-index: 0; + font-weight: 300; + font-family: 'Fira-Mono', monospace; + font-size: 0.9rem; + color: gray; +} + + +.RpackageSpec .Smaller { + font-weight: 300; + font-family: 'Fira-Mono', monospace; + font-size: 0.9rem; +} + +.RForeground { + position: relative; + left: 0px; + top: 0px; + z-index: 1; +} + +/* ---------------------------------------- */ +/* For section source modules & tags */ + +.RPartExplain { + background: #eee; + font-size: 0.9rem; + margin-top: 0.2rem; + padding: 0.2rem; + text-align: left; +} diff --git a/manual-racket.js b/manual-racket.js new file mode 100644 index 00000000..6864c001 --- /dev/null +++ b/manual-racket.js @@ -0,0 +1,250 @@ +/* For the Racket manual style */ + +AddOnLoad(function() { + /* Look for header elements that have x-source-module and x-part tag. + For those elements, add a hidden element that explains how to + link to the section, and set the element's onclick() to display + the explanation. */ + var tag_names = ["h1", "h2", "h3", "h4", "h5"]; + for (var j = 0; j < tag_names.length; j++) { + elems = document.getElementsByTagName(tag_names[j]); + for (var i = 0; i < elems.length; i++) { + var elem = elems.item(i); + AddPartTitleOnClick(elem); + } + } +}) + +// cache of source urls +var cache = {}; + +function ParseSource(source, mod_path, single_collection) { + + var source_url = new URL(source); + + if (source_url.protocol == "github:") { + // browser URL parser only works with http(s) URLs + source_url = new URL("https" + source.substring(6)); + var host = source_url.host; + var url_path = source_url.pathname.substring(1).split("/"); + if (!(url_path.length >= 2)) return null; + var user = url_path.shift(); + var repo = url_path.shift(); + var branch = url_path.shift(); + var source_path = url_path.join("/"); + } + else if (("https:" == source_url.protocol) || ("git:" == source_url.protocol)) { + // browser URL parser only works with http(s) URLs + if ("git:" == source_url.protocol) + source_url = new URL("https" + source.substring(3)); + + var host = source_url.host; + var source_path = source_url.searchParams.get("path"); + var branch = (source_url.hash || "#master").substring(1); + var url_path = source_url.pathname.substring(1).split("/"); + if (url_path.length < 2) throw [source_url.pathname, url_path]; + var user = url_path.shift(); + var repo = url_path.shift(); + var mtch = repo.match(/(.*)\.git$/); + if (mtch) repo = mtch[1]; + + } + else return null; + + var mod_path_re = /^\(lib "(.+)"\)$/; + + var mod_path_elems = mod_path && mod_path.match(mod_path_re)[1].split("/"); + + if (!user || !repo || !mod_path_elems) + return null; + if (single_collection) + mod_path_elems.shift(); + + var file_path = mod_path_elems.join("/"); + + + if (source_path) { + file_path = source_path + "/" + file_path; + } + + return { user: user, + repo: repo, + file_path: file_path, + branch: branch, + host: host }; +} + +function AddSourceElement(pkg_url, info) { + info.appendChild(document.createTextNode("Document source ")); + var url_line = document.createElement("div"); + var a = document.createElement("a"); + a.href = pkg_url; + a.style.whiteSpace = "nowrap"; + a.appendChild(document.createTextNode(pkg_url)); + addSpan(url_line, "\xA0", "RktRdr"); + url_line.appendChild(a); + info.appendChild(url_line); +} + +var prefixes = { "github.com": "tree", + "gitlab.com": "-/blob" }; + + +function AddSourceUrl(source, mod_path, collection, info) { + // multi is encoded as an array, empty as false + single_collection = (typeof collection === "string"); + + var parsed = source && mod_path && ParseSource(source, mod_path, single_collection); + + if (!parsed) return; + + prefix = prefixes.hasOwnProperty(parsed.host) && prefixes[parsed.host]; + if (!prefix) return; + + var correct_url = "https://" + [parsed.host, parsed.user, parsed.repo, prefix, parsed.branch, parsed.file_path].join("/"); + + if (info) AddSourceElement(correct_url, info); +} + +function addSpan(dest, str, cn) { + var s = document.createElement("span"); + s.className = cn; + s.style.whiteSpace = "nowrap"; + s.appendChild(document.createTextNode(str)); + dest.appendChild(s); +} + + +// test cases +if (false) { + console.log(ParseSource("git://gitlab.com/benn/foo?path=xxx", + '(lib "asn1/scribblings/asn1.scrbl")', + false)) + console.log(ParseSource("github://github.com/carl-eastlund/mischief/master", + '(lib "asn1/scribblings/asn1.scrbl")', + false)) + console.log(ParseSource("github://github.com/carl-eastlund/mischief/stable/dir", + '(lib "asn1/scribblings/asn1.scrbl")', + false)) + + console.log(ParseSource("git://github.com/racket/racket/?path=pkgs/racket-doc", + '(lib "asn1/scribblings/asn1.scrbl")', + false)); + + console.log(ParseSource("git://github.com/rmculpepper/asn1.git?path=asn1-doc", + '(lib "asn1/scribblings/asn1.scrbl")', + true)); + console.log(ParseSource("git://github.com/rmculpepper/asn1", + '(lib "asn1/scribblings/asn1.scrbl")', + true)); + console.log(ParseSource("git://github.com/rmculpepper/asn1", + '(lib "asn1/scribblings/asn1.scrbl")', + false)); +} + +function AddPartTitleOnClick(elem) { + var mod_path = elem.getAttribute("x-source-module"); + var tag = elem.getAttribute("x-part-tag"); + var source_pkg = elem.getAttribute("x-source-pkg"); + + // create here to share + var info = document.createElement("div"); + + + // tag is not needed, but this way we can add the element in only one place + // avoid failing on browser that don't have `fetch` + if (mod_path && source_pkg && tag && window.fetch) { + + var cached = cache[mod_path] + if (cached) { + AddSourceElement(cached[0], mod_path, cached[1], info); + } + else { + fetch("https://pkgs.racket-lang.org/pkg/" + source_pkg + ".json") + .then(function (response) { return response.json(); }) + .then(function (data) { + var vers = data["versions"] || {}; + var def = vers["default"] || {}; + var source = def["source"] || undefined; + var collection = data["collection"]; + if (source) { + cache[mod_path] = [source, collection]; + AddSourceUrl(source, mod_path, collection, info); + } + }); + } + } + + if (mod_path && tag) { + // Might not be present: + var prefixes = elem.getAttribute("x-part-prefixes"); + + info.className = "RPartExplain"; + + /* The "top" tag refers to a whole document: */ + var is_top = (tag == "\"top\""); + info.appendChild(document.createTextNode("Link to this " + + (is_top ? "document" : "section") + + " with ")); + + /* Break `secref` into two lines if the module path and tag + are long enough: */ + var is_long = (is_top ? false : ((mod_path.length + + tag.length + + (prefixes ? (16 + prefixes.length) : 0)) + > 60)); + + var line1 = document.createElement("div"); + var line1x = ((is_long && prefixes) ? document.createElement("div") : line1); + var line2 = (is_long ? document.createElement("div") : line1); + + /* Construct a `secref` call with suitable syntax coloring: */ + addSpan(line1, "\xA0@", "RktRdr"); + addSpan(line1, (is_top ? "other-doc" : "secref"), "RktSym"); + addSpan(line1, "[", "RktPn"); + if (!is_top) + addSpan(line1, tag, "RktVal"); + if (is_long) { + /* indent additional lines: */ + if (prefixes) + addSpan(line1x, "\xA0\xA0\xA0\xA0\xA0\xA0\xA0\xA0", "RktPn"); + addSpan(line2, "\xA0\xA0\xA0\xA0\xA0\xA0\xA0\xA0", "RktPn"); + } + if (prefixes) { + addSpan(line1x, " #:tag-prefixes ", "RktPn"); + addSpan(line1x, "'", "RktVal"); + addSpan(line1x, prefixes, "RktVal"); + } + if (!is_top) + addSpan(line2, " #:doc ", "RktPn"); + addSpan(line2, "'", "RktVal"); + addSpan(line2, mod_path, "RktVal"); + addSpan(line2, "]", "RktPn"); + + info.appendChild(line1); + if (is_long) + info.appendChild(line1x); + if (is_long) + info.appendChild(line2); + + info.style.display = "none"; + + /* Add the new element afterthe header: */ + var n = elem.nextSibling; + if (n) + elem.parentNode.insertBefore(info, n); + else + elem.parentNode.appendChild(info); + + /* Clicking the information button shows the explanation element: */ + const heading = elem.querySelector('.heading-source'); + if (heading) { + heading.onclick = function () { + if (info.style.display === "none") + info.style.display = "block"; + else + info.style.display = "none"; + } + } + } +} diff --git a/manual-style.css b/manual-style.css new file mode 100644 index 00000000..2dad341e --- /dev/null +++ b/manual-style.css @@ -0,0 +1,792 @@ + +/* See the beginning of "scribble.css". + This file is used by the `scribble/manual` language, along with + "manual-racket.css". */ + +@import url("manual-fonts.css"); + +* { + margin: 0; + padding: 0; +} + +@media all {html {font-size: 15px;}} +@media all and (max-width:940px){html {font-size: 14px;}} +@media all and (max-width:850px){html {font-size: 13px;}} +@media all and (max-width:830px){html {font-size: 12px;}} +@media all and (max-width:740px){html {font-size: 11px;}} + +/* CSS seems backward: List all the classes for which we want a + particular font, so that the font can be changed in one place. (It + would be nicer to reference a font definition from all the places + that we want it.) + + As you read the rest of the file, remember to double-check here to + see if any font is set. */ + +/* Monospace: */ +.maincolumn, .refpara, .refelem, .tocset, .stt, .hspace, .refparaleft, .refelemleft { + font-family: 'Fira-Mono', monospace; + white-space: inherit; + font-size: 1rem; +} + +/* Enable heading-source */ +.button-group > .heading-source { + visibility: inherit; + cursor: pointer; + user-select: none; + color: gray; +} + +/* embolden the "Racket Guide" and "Racket Reference" links on the TOC */ +/* there isn't an obvious tag in the markup that designates the top TOC page, which is called "start.scrbl" */ +/* nor a tag that designates these two links as special */ +/* so we'll use this slightly tortured sibling selector that hooks onto the h2 tag */ +h2[x-source-module='(lib "scribblings/main/start.scrbl")'] ~ table a[href="guide/index.html"], +h2[x-source-module='(lib "scribblings/main/start.scrbl")'] ~ table a[href="reference/index.html"] { + font-weight: bold; +} + + +h2 .stt { + font-size: 2.3rem; + /* prevent automatic bolding from h2 */ + font-weight: 400; +} + +.toptoclink .stt { + font-size: inherit; +} +.toclink .stt { + font-size: 90%; +} + +.RpackageSpec .stt { + font-weight: 300; + font-family: 'Fira-Mono', monospace; + font-size: 0.9rem; +} + +h3 .stt, h4 .stt, h5 .stt { + color: #333; + font-size: 1.65rem; + font-weight: 400; +} + + +/* Serif: */ +.main, .refcontent, .tocview, .tocsub, .sroman, i { + font-family: 'Charter-Racket', serif; + font-size: 1.18rem; +/* Don't use font-feature-settings with Charter, +it fouls up loading for reasons mysterious */ +/* font-feature-settings: 'tnum' 1, 'liga' 0; */ +} + + +/* Sans-serif: */ +.version, .versionNoNav, .ssansserif { + font-family: 'Fira', sans-serif; +} + +/* used mostly for DrRacket menu commands */ +.ssansserif { + font-family: 'Fira', sans-serif; + font-size: 0.9em; +} + +.tocset .ssansserif { + font-size: 100%; +} + +/* ---------------------------------------- */ + +p, .SIntrapara { + display: block; + margin: 0 0 1em 0; + line-height: 1.4; +} + +.compact { + padding: 0 0 1em 0; +} + +li { + list-style-position: outside; + margin-left: 1.2em; +} + +h1, h2, h3, h4, h5, h6, h7, h8 { + font-family: 'Fira', sans-serif; + font-weight: 300; + font-size: 1.6rem; + color: #333; + margin-top: inherit; + margin-bottom: 1rem; + line-height: 1.25; + +} + +h3, h4, h5, h6, h7, h8 { + border-top: 1px solid black; +} + + + +h2 { /* per-page main title */ + font-family: 'Cooper-Hewitt'; + margin-top: 4rem; + font-size: 2.3rem; + font-weight: bold; + line-height: 1.2; + width: 90%; + /* a little nudge to make text visually lower than 4rem rule in left margin */ + position: relative; + top: 6px; +} + +h3, h4, h5, h6, h7, h8 { + margin-top: 2em; + padding-top: 0.1em; + margin-bottom: 0.75em; +} + +/* ---------------------------------------- */ +/* Main */ + +body { + color: black; + background-color: white; +} + +.maincolumn { + width: auto; + margin-top: 4rem; + margin-left: 17rem; + margin-right: 2rem; + margin-bottom: 10rem; /* to avoid fixed bottom nav bar */ + max-width: 700px; + min-width: 370px; /* below this size, code samples don't fit */ +} + +a { + text-decoration: inherit; +} + +a, .toclink, .toptoclink, .tocviewlink, .tocviewselflink, .tocviewtoggle, .plainlink, +.techinside, .techoutside:hover, .techinside:hover { + color: #07A; +} + +a:hover { + text-decoration: underline; +} + + +/* ---------------------------------------- */ +/* Navigation */ + +.navsettop, .navsetbottom { + left: 0; + width: 15rem; + height: 6rem; + font-family: 'Fira', sans-serif; + font-size: 0.9rem; + border-bottom: 0px solid hsl(216, 15%, 70%); + background-color: inherit; + padding: 0; +} + +.navsettop { + position: fixed; + z-index: 2; + background: #a7b0be; + top: 0; + left: 0; + margin-bottom: 0; + border-bottom: 0; +} + +.navsettop a, .navsetbottom a { + color: black; +} + +.navsettop a:hover, .navsetbottom a:hover { + background: hsl(216, 78%, 95%); + text-decoration: none; +} + +.navleft, .navright { + position: static; + float: none; + margin: 0; + white-space: normal; +} + + +.navleft a { + display: inline-block; +} + +.navright a { + display: inline-block; + text-align: center; +} + +.navleft a, .navright a, .navright span { + display: inline-block; + padding: 0.5rem; + min-width: 1rem; +} + + +.navright { + white-space: nowrap; +} + + +.navsetbottom { + display: none; +} + +.nonavigation { + color: #889; +} + +.searchform { + display: block; + margin: 0; + padding: 0; + border-bottom: 1px solid #eee; + height: 4rem; +} + +.nosearchform { + margin: 0; + padding: 0; + height: 4rem; +} + +.searchbox { + font-size: 0.9rem; + width: 12rem; + margin: 1rem; + padding: 0.25rem 0.4rem ; + vertical-align: middle; + background-color: white; + font-family: 'Fira-Mono', monospace; +} + + +#search_box { + font-family: 'Fira-Mono', monospace; + font-size: 1rem; + padding: 0.25rem 0.3rem ; +} + +/* Default to local view. Global will specialize */ +.plt_global_only { display: none; } +.plt_local_only { display: block; } + +/* ---------------------------------------- */ +/* Version */ + +.versionbox { + position: absolute; + float: none; + top: 0.25rem; + left: 17rem; + z-index: 11000; + height: 2em; + font-size: 70%; + font-weight: lighter; + width: inherit; + margin: 0; +} +.version, .versionNoNav { + font-size: inherit; +} +.version:before, .versionNoNav:before { + content: "v"; +} + + +/* ---------------------------------------- */ +/* Margin notes */ + +/* cancel scribble.css styles: */ +.refpara, .refelem { + position: static; + float: none; + height: auto; + width: auto; + margin: 0; +} + +.refcolumn { + position: static; + display: block; + width: auto; + font-size: inherit; + margin: 2rem; + margin-left: 2rem; + padding: 0.5em; + padding-left: 0.75em; + padding-right: 1em; + background: hsl(60, 29%, 94%); + border: 1px solid #ccb; + border-left: 0.4rem solid #ccb; +} + + +/* slightly different handling for margin-note* on narrow screens */ +@media all and (max-width:1340px) { + span.refcolumn { + float: right; + width: 50%; + margin-left: 1rem; + margin-bottom: 0.8rem; + margin-top: 1.2rem; + } + +} + +.refcontent, .refcontent p { + line-height: 1.5; + margin: 0; +} + +.refcontent p + p { + margin-top: 1em; +} + +.refcontent a { + font-weight: 400; +} + +.refpara, .refparaleft { + top: -1em; +} + + +@media all and (max-width:600px) { + .refcolumn { + margin-left: 0; + margin-right: 0; + } +} + + +@media all and (min-width:1340px) { + .refcolumn { + margin: 0 -22.5rem 1rem 0; + float: right; + clear: right; + width: 18rem; + } +} + +.refcontent { + font-family: 'Fira', sans-serif; + font-size: 1rem; + line-height: 1.6; + margin: 0 0 0 0; +} + + +.refparaleft, .refelemleft { + position: relative; + float: left; + right: 2em; + height: 0em; + width: 13em; + margin: 0em 0em 0em 0em; + display: contents; +} + +.refcolumnleft { + background-color: hsl(60, 29%, 94%); + display: block; + position: relative; + width: 13em; + font-size: 85%; + border: 0.5em solid hsl(60, 29%, 94%); + margin: 0 0 0 0; +} + + +/* ---------------------------------------- */ +/* Table of contents, left margin */ + +.tocset { + position: fixed; + z-index: 2; + overflow-y: scroll; + float: none; + left: 0; + top: 0rem; + bottom: 0; + width: 14rem; + padding: 0rem 0.5rem 0.5rem 0.5rem; + background-color: hsl(216, 15%, 70%); + border-top: 6rem solid hsl(216, 15%, 70%); +} + +.tocset td { + vertical-align: text-top; + padding-bottom: 0.4rem; + padding-left: 0.2rem; + line-height: 1.1; + font-family: 'Fira', sans-serif; +} + +.tocset td a { + color: black; + font-weight: 400; +} + + +.tocview { + text-align: left; + background-color: inherit; + margin-top: 1em; +} + + +.tocview td, .tocsub td { + line-height: 1.3; +} + + +.tocview table, .tocsub table { + width: 90%; +} + +.tocset td a.tocviewselflink { + font-weight: lighter; + font-size: 110%; /* monospaced styles below don't need to enlarge */ + color: white; +} + +.tocviewselflink { + text-decoration: none; +} + +.tocsub { + text-align: left; + margin-top: 0.5em; + background-color: inherit; +} + +.tocviewlist, .tocsublist { + margin-left: 0.2em; + margin-right: 0.2em; + padding-top: 0.2em; + padding-bottom: 0.2em; +} +.tocviewlist table { + font-size: 82%; +} + +.tocviewlisttopspace { + margin-bottom: 1em; +} + +.tocviewsublist, .tocviewsublistonly, .tocviewsublisttop, .tocviewsublistbottom { + margin-left: 0.4em; + border-left: 1px solid #99a; + padding-left: 0.8em; +} +.tocviewsublist { + margin-bottom: 1em; +} +.tocviewsublist table, +.tocviewsublistonly table, +.tocviewsublisttop table, +.tocviewsublistbottom table, +table.tocsublist { + font-size: 1rem; +} + +.tocviewsublist td, +.tocviewsublistbottom td, +.tocviewsublisttop td, +.tocsub td, +.tocviewsublistonly td { + font-size: 90%; +} + +/* shrink the monospaced text (`stt`) within nav */ +.tocviewsublist td .stt, +.tocviewsublistbottom td .stt, +.tocviewsublisttop td .stt, +.tocsub td .stt, +.tocviewsublistonly td .stt { + font-size: 95%; +} + + +.tocviewtoggle { + font-size: 75%; /* looks better, and avoids bounce when toggling sub-sections due to font alignments */ +} + +.tocsublist td { + padding-left: 0.5rem; + padding-top: 0.25rem; + text-indent: 0; +} + +.tocsublinknumber { + font-size: 100%; +} + +.tocsublink { + font-size: 82%; + text-decoration: none; +} + +.tocsubseclink { + font-size: 100%; + text-decoration: none; +} + +.tocsubnonseclink { + font-size: 82%; + text-decoration: none; + margin-left: 1rem; + padding-left: 0; + display: inline-block; +} + +/* the label "on this page" */ +.tocsubtitle { + display: block; + font-size: 62%; + font-family: 'Fira', sans-serif; + font-weight: bolder; + font-style: normal; + letter-spacing: 2px; + text-transform: uppercase; + margin: 0.5em; +} + +.toptoclink { + font-weight: bold; + font-size: 110%; + margin-bottom: 0.5rem; + margin-top: 1.5rem; + display: inline-block; +} + +.toclink { + font-size: inherit; +} + +/* ---------------------------------------- */ +/* Some inline styles */ + +.indexlink { + text-decoration: none; +} + +pre { + margin-left: 2em; +} + +blockquote { + margin-left: 2em; + margin-right: 2em; + margin-bottom: 1em; +} + +.SCodeFlow { + border-left: 1px dotted black; + padding-left: 1em; + padding-right: 1em; + margin-top: 1em; + margin-bottom: 1em; + margin-left: 0em; + margin-right: 2em; + white-space: nowrap; + line-height: 1.5; +} + +.SCodeFlow img { + margin-top: 0.5em; + margin-bottom: 0.5em; +} + +/* put a little air between lines of code sample */ +/* Fira Mono appears taller than Source Code Pro */ +.SCodeFlow td { + padding-bottom: 1px; +} + +.boxed { + margin: 0; + margin-top: 2em; + padding: 0.25em; + padding-top: 0.3em; + padding-bottom: 0.4em; + background: #f3f3f3; + box-sizing:border-box; + border-top: 1px solid #99b; + background: hsl(216, 78%, 95%); + background: -moz-linear-gradient(to bottom left, hsl(0, 0%, 99%) 0%, hsl(216, 62%, 95%) 100%); + background: -webkit-linear-gradient(to bottom left, hsl(0, 0%, 99%) 0%, hsl(216, 62%, 95%) 100%); + background: -o-linear-gradient(to bottom left, hsl(0, 0%, 99%) 0%, hsl(216, 62%, 95%) 100%); + background: -ms-linear-gradient(to bottom left, hsl(0, 0%, 99%) 0%, hsl(216, 62%, 95%) 100%); + background: linear-gradient(to bottom left, hsl(0, 0%, 99%) 0%, hsl(216, 62%, 95%) 100%); +} + +blockquote > blockquote.SVInsetFlow { +/* resolves issue in e.g. /reference/notation.html */ + margin-top: 0em; +} + +.leftindent .SVInsetFlow { /* see e.g. section 4.5 of Racket Guide */ + margin-top: 1em; + margin-bottom: 1em; +} + +.SVInsetFlow a, .SCodeFlow a { + color: #07A; +} + +.SubFlow { + display: block; + margin: 0em; +} + +.boxed { + width: 100%; + background-color: inherit; +} + +.techoutside { text-decoration: none; } + +.SAuthorListBox { + position: static; + float: none; + font-family: 'Fira', sans-serif; + font-weight: 300; + font-size: 110%; + margin-top: 1rem; + margin-bottom: 2rem; + width: 30rem; + height: auto; +} + +.author > a { /* email links within author block */ + font-weight: inherit; + color: inherit; +} + +.SAuthorList { + font-size: 82%; +} +.SAuthorList:before { + content: "by "; +} +.author { + display: inline; + white-space: nowrap; +} + +/* phone + tablet styles */ + +@media all and (max-width:720px){ + + + @media all and (max-width:720px){ + + @media all {html {font-size: 15px;}} + @media all and (max-width:700px){html {font-size: 14px;}} + @media all and (max-width:630px){html {font-size: 13px;}} + @media all and (max-width:610px){html {font-size: 12px;}} + @media all and (max-width:550px){html {font-size: 11px;}} + @media all and (max-width:520px){html {font-size: 10px;}} + + .navsettop, .navsetbottom { + display: flex; + position: absolute; + width: 100%; + height: 4rem; + border: 0; + background-color: hsl(216, 15%, 70%); + align-items: center; + } + + .tocsetoverlay .navsettop { + position: fixed; + } + + .navleft { + flex: 1; + } + + .searchform { + display: inline; + border: 0; + } + + .searchbox { + margin-top: 0; + margin-bottom: 0; + } + + .navleft .tocsettoggle { + display: initial; + } + + .navright { + margin-right: 1.3rem; + border: 0px solid red; + } + + .navsetbottom { + display: block; + margin-top: 8rem; + } + + .tocset { + display: none; + border-top-width: 4rem; + } + + .tocsetoverlay .tocset { + display: block; + } + + .versionbox { + top: 4.5rem; + left: 1rem; /* same distance as main-column */ + z-index: 1; + height: 2em; + font-size: 70%; + font-weight: lighter; + } + + + .maincolumn { + margin-left: 1em; + margin-top: 7rem; + margin-bottom: 0rem; + } + + } + +} + +/* print styles : hide the navigation elements */ +@media print { + .tocset, + .navsettop, + .navsetbottom { display: none; } + .maincolumn { + width: auto; + margin-right: 13em; + margin-left: 0; + } +} diff --git a/ming-fonts.css b/ming-fonts.css new file mode 100644 index 00000000..b28aa3f8 --- /dev/null +++ b/ming-fonts.css @@ -0,0 +1,34 @@ +/* .wq-ext-font { */ +/* font-family: 'WenQuanYiMicroHeiExtend'; */ +/* } */ + +/* body { */ +/* font-family: WenQuanYiMicroHeiExtend !important; */ +/* } */ + +.maincolumn, .refpara, .refelem, .tocset, .stt, .hspace, .refparaleft, .refelemleft { + font-family: 'Fira-Mono', monospace, cangjie !important; +} + +.RktIn, .RktRdr, .RktPn, .RktMeta, +.RktMod, .RktKw, .RktVar, .RktSym, +.RktRes, .RktOut, .RktCmt, .RktVal, +.RktBlk, .RktErr { + font-family: 'Fira-Mono', monospace, cangjie !important; +} + +.main, .refcontent, .tocview, .tocsub, .sroman, i { + font-family: 'Charter-Racket', serif, cangjie !important; +} + +h1, h2, h3, h4, h5, h6, h7, h8 { + font-family: 'Fira', sans-serif, cangjie !important; +} + +.tocset td { + font-family: 'Fira', sans-serif, cangjie !important; +} + +.tocsubtitle { + font-family: 'Fira', sans-serif, cangjie !important; +} diff --git a/ming-hash.html b/ming-hash.html new file mode 100644 index 00000000..d965dacd --- /dev/null +++ b/ming-hash.html @@ -0,0 +1,16 @@ + +4.4 􏿰
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
􏾌
􏾑
􏾑?
􏾐?
􏽞?
􏽝?
􏽜?
􏽛?
􏽮?
􏽭?
􏽬?
􏽫?
􏽦?
􏽥?
􏽤?
􏽣?
􏽪?
􏽩?
􏽨?
􏽧?
􏽢?
􏽡?
􏽠?
􏽟?
8.13
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4.4 􏿰🔗

 (require ming/hash) package: ming
Racket标准库􏿰的名语言扩展。 +

本页所列之例程的实现代码是名语言，因此源代码有参照意义。

procedure

(􏾌 V ...) → 􏾌?

  V : any?

procedure

(􏾑 V ...) → 􏾑?

  V : any?
􏾌：生成“键值对”的唯一性是通过同?来确立的􏿰。
+􏾑：生成“键值对”可被增、删、改的􏿰（另见：易?）。 +

另见：􏿰、􏾋、􏾊、􏾉。

Examples:
> (􏾌 1 2 3 4)

'#hash((1 . 2) (3 . 4))

> (􏾑 1 2 3 4)

'#hash((1 . 2) (3 . 4))

> (􏽦? (􏾌 1 2 3 4))

#f

> (􏽦? (􏾑 1 2 3 4))

#t

procedure

(􏾑? V) → boolean?

  V : any?

procedure

(􏾐? V) → boolean?

  V : any?

Examples:
> (􏾐? (􏿰 1 2 3 4))

#t

> (􏾑? (􏾑 1 2 3 4))

#t

> (􏾑? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾐? (􏾐^ '((1 . 2) (3 . 4))))

#t

procedure

(􏽞? V) → boolean?

  V : any?

procedure

(􏽝? V) → boolean?

  V : any?

procedure

(􏽜? V) → boolean?

  V : any?

procedure

(􏽛? V) → boolean?

  V : any?
􏾐?、􏾑?和􏾎?、􏾏? +之间的互相组合类推例程。
+例如：􏽞?等价于(且 (􏾎? V) (􏾐? V))。 +

􏽞、􏽝、􏽜、􏽛是新造字 +

  • 十：艹的简写；

  • 丿一丶：⺮的简写；

  • 丷：氵的简写。

Examples:
> (􏽞? (􏿰 1 2 3 4))

#t

> (􏽝? (􏾑 1 2 3 4))

#t

> (􏽝? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽞? (􏾐^ '((1 . 2) (3 . 4))))

#t

> (􏽞? (􏾋 1 2 3 4))

#t

procedure

(􏽮? V) → boolean?

  V : any?

procedure

(􏽭? V) → boolean?

  V : any?

procedure

(􏽬? V) → boolean?

  V : any?

procedure

(􏽫? V) → boolean?

  V : any?

procedure

(􏽦? V) → boolean?

  V : any?

procedure

(􏽥? V) → boolean?

  V : any?

procedure

(􏽤? V) → boolean?

  V : any?

procedure

(􏽣? V) → boolean?

  V : any?

procedure

(􏽪? V) → boolean?

  V : any?

procedure

(􏽩? V) → boolean?

  V : any?

procedure

(􏽨? V) → boolean?

  V : any?

procedure

(􏽧? V) → boolean?

  V : any?

procedure

(􏽢? V) → boolean?

  V : any?

procedure

(􏽡? V) → boolean?

  V : any?

procedure

(􏽠? V) → boolean?

  V : any?

procedure

(􏽟? V) → boolean?

  V : any?
􏾌?、􏾋?、􏾊?、􏾉?和 +􏽞?、􏽝?，􏽜?、􏽛?之间 +的各种互相组合类推例程。
+例如：􏽮?等价于(且 (􏾌? V) (􏽞? V))。 +

􏽮、􏽭、􏽬、􏽫是新造字
+􏽦、􏽥、􏽤、􏽣是新造字
+􏽪、􏽩、􏽨、􏽧是新造字
+􏽢、􏽡、􏽠、􏽟是新造字

Examples:
> (􏽮? (􏿰 1 2 3 4))

#t

> (􏽦? (􏾑 1 2 3 4))

#t

> (􏽦? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽢? (􏾏^ '((1 . 2) (3 . 4))))

#t

> (􏽡? (􏾁^ '((1 . 2) (3 . 4))))

#t

> (􏽞? (􏾋 1 2 3 4))

#t

> (􏽭? (􏾋 1 2 3 4))

#t

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\ No newline at end of file diff --git a/ming-kernel.html b/ming-kernel.html new file mode 100644 index 00000000..ce6912af --- /dev/null +++ b/ming-kernel.html @@ -0,0 +1,4 @@ + +4.1 kernel of ming lang
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
►4.1 kernel of ming lang
On this page:
4.1.1 ming/  kenel
􏸧
􏸬
􏸫
􏸪
􏸞
8.13
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4.1 kernel of ming lang🔗

4.1.1 ming/kenel🔗

 (require ming/kernel) package: ming
The kernel methods and syntaxes of ming lang.

syntax

(􏸧 exprs ...)

syntax

(􏸬 arg1 exprs ...)

syntax

(􏸫 arg1 arg2 exprs ...)

syntax

(􏸪 arg1 arg2 arg3 exprs ...)

🐘 入

Same as: +

  • (λ () exprs ...)

  • (λ (arg1) exprs ...)

  • (λ (arg1 arg2) exprs ...)

  • (λ (arg1 arg2 arg3) exprs ...)

Examples:
> ((􏸧 (􏿴 1 2 3)))

'(1 2 3)

> ((􏸬 x (􏿴 1 2 x)) 3)

'(1 2 3)

> ((􏸫 x y (􏿴 1 2 x y)) 3 4)

'(1 2 3 4)

> ((􏸪 x y z (􏿴 1 2 x y z)) 3 4 5)

'(1 2 3 4 5)

> ((􏸪  x #:arg y (􏿴 1 2 x y)) 3 #:arg 4)

'(1 2 3 4)

> ((􏸧 10))

10

> ((􏸬 x x) 10)

10

syntax

(􏸞 a b c)

🐘 丫，􏸣、􏸟

Is short for (丫 (非 a) b c), which can always be wrote as (丫 a c b), thus it should take precedence over the previous form in using unless it’s really necessary. +

Example:
> (􏸞 (= 1 1) 'unequal 'equal)

'equal

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\ No newline at end of file diff --git a/ming-list.html b/ming-list.html new file mode 100644 index 00000000..216a6c8e --- /dev/null +++ b/ming-list.html @@ -0,0 +1,22 @@ + +4.2 􏿴
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
伄
伄^
􏾝
􏾘
􏾘^
􏺊
􏹃
偅
􏹊
􏷍?
􏿳
􏿳?
􏺈
􏺇
8.13
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4.2 􏿴🔗

 (require ming/list) package: ming
Extention of 双 and 􏿴. +

All the procedures in this page are implemented in Ming, therefore, the source code can be seen as a demonstation of it.

procedure

(伄 LST N ...) → 􏿴?

  LST : 􏿴?
  N : 􏺡?

procedure

(伄^ LST N-LST) → 􏿴?

  LST : 􏿴?
  N-LST : (listof 􏺡?)
伄: 亻 + 弔. 
zi
+
伄^: 亻 + 弔 + ^. 
zi
+

Examples:
> (伄 '(a b c d e f g) 0 2 3)

'(a c d)

> (伄^ '(a b c d e f g) '(0 2 3))

'(a c d)

procedure

(􏾝 LST N1 [N2]) → 􏿴?

  LST : 􏿴?
  N1 : 􏺡?
  N2 : 􏺡? = +inf.0
􏾝: 弔 + 阝. 
zi
+

Examples:
> (􏾝 '(a b c d e f) 0)

'(a b c d e f)

> (􏾝 '(a b c d e f) 0 0)

'()

> (􏾝 '(a b c d e f) 0 1)

'(a)

> (􏾝 '(a b c d e f) 1 2)

'(b)

> (􏾝 '(a b c d e f) 0 2)

'(a b)

> (􏾝 '(a b c d e f) 0 5)

'(a b c d e)

> (􏾝 '(a b c d e f) 2 5)

'(c d e)

procedure

(􏾘 LST N) → 􏿴?

  LST : 􏿴?
  N : 􏺡?

procedure

(􏾘^ LST N-LST) → 􏿴?

  LST : 􏿴?
  N-LST : (listof? 􏺡?)
􏾘: 弔 + 刂. 
zi
+
􏾘^: 弔 + 刂 + ^. 
zi
+

🐘 􏾺 𨚞

Examples:
> (􏾘 '(a b c d e f g) 1)

'(a c d e f g)

> (􏾘^ '(a b c d e f g) '(0 1 3))

'(c e f g)

procedure

(􏺊 LST N M) → 􏿴?

  LST : 􏿴?
  N : 􏺡?
  M : 􏺡?
􏺊: 􏷵 + 􏷴. 
zi
+Shorts for (􏷴 (􏷵 LST N) M). +

Example:
> (􏺊 '(a b c d e f g) 1 3)

'(b c d)

procedure

(􏹃 LST PROC) → 􏺡?

  LST : 􏿴?
  PROC : 程?
􏹃: 巨 + 入. 
zi
+

🐘 􏹈巨

Example:
> (􏹃 '(a b 12 c 33 d  58 f g) 米?)

3

procedure

(偅 LST) → 􏿴?

  LST : 􏿴?
偅: 亻 + 重. 
zi
+

Examples:
> (偅 '())

'()

> (偅 '(11))

'()

> (偅 '(11 22 33 22 44))

'(22)

> (偅 '(11 11 11 22 55 22 33 88 88 88 99 99))

'(11 22 88 99)

procedure

(􏹊 V LST [PROC]) → 􏿴?

  V : any/c
  LST : 􏿴?
  PROC : 程? = 同?
􏹊: 彐 + 刂. 
zi
+

🐘 􏹊~ 􏹊^

Example:
> (􏹊 'c '(a b c d e c f))

'(a b d e f)

procedure

(􏷍? LST1 LST2) → boolean?

  LST1 : 􏿴?
  LST2 : 􏿴?
LST1是否是LST2的子集。 +
􏷍: 亻 + 􏿴. 
zi
+
􏷍?: 􏷍 + ?. 
zi
+

Examples:
> (􏷍? '(a b) '(a b c d e f g))

#t

> (􏷍? '(a e) '(a b c d e f g))

#t

> (􏷍? '(a z) '(a b c d e f g))

#f

procedure

(􏿳 V ...) → 􏿳?

  V : any?
􏿳: 双 + 􏿴. means association list.
zi
+

🐘 􏿰

Examples:
> (􏿳 1 2 3 4 1 5)

'((1 . 2) (3 . 4) (1 . 5))

> (􏿳)

'()

> (􏿳 1)

'()

> (􏿳 1 2 3)

'((1 . 2))

procedure

(􏿳? V) → boolean?

  V : any?
􏿳?: 􏿳 + ?. 
zi
+V is 􏿳 or not. Shorts for (并 (􏿴? V) (􏷐 双? V)). +

Examples:
> (􏿳? '(1 2 3 4))

#f

> (􏿳? (􏿳 1 2 3 4))

#t

> (􏿳? '((1 . 2) (3 . 4)))

#t

> (􏿳? '((1 2) (3 4)))

#t

> (􏿳? '((1 (2)) (3 (4))))

#t

procedure

(􏺈 ALST) → 􏿴?

  ALST : 􏿳?

procedure

(􏺇 ALST) → 􏿴?

  ALST : 􏿳?
􏺈: 日 + 阝. 
zi
+
􏺇: 􏺇 + 阝. 
zi
+Same as： +

🐘 阴 阳 􏹉 􏿰􏺈 􏿰􏺇

Examples:
> (􏺈 '((1 . 2) (3 . 4)))

'(1 3)

> (􏺇 '((1 . 2) (3 . 4)))

'(2 4)

    contents    up   
 
\ No newline at end of file diff --git a/ming-number.html b/ming-number.html new file mode 100644 index 00000000..980cdb10 --- /dev/null +++ b/ming-number.html @@ -0,0 +1,5 @@ + +4.6 米
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
〇?
􏹔
8.13
    contents    up   

4.6 米🔗

 (require ming/number) package: ming
Racket标准库米的名语言扩展。 +

本页所列之例程的实现代码是名语言，因此源代码有参照意义。

procedure

(〇? N) → boolean?

  N : 米?
是否是0。 +

同：𥥪?

Examples:
> (〇? 0)

#t

> (〇? 1)

#f

> (〇? 1.1)

#f

> (〇? "abcdefg")

zero?: contract violation

  expected: number?

  given: "abcdefg"

procedure

(􏹔 N) → 釆?

  N : 米?
返回小数后保留N位（默认2）的近视值，采用“四舍六入五成双（奇进偶退）法”。 +

另见：宩化􏹔句

Examples:
> (􏹔 0.014)

0.01

> (􏹔 0.015)

0.01

> (􏹔 0.016)

0.02

> (􏹔 0.044)

0.04

> (􏹔 0.045)

0.04

> (􏹔 0.046)

0.05

> (􏹔 0.0465 3)

0.046

    contents    up   
 
\ No newline at end of file diff --git a/ming-string.html b/ming-string.html new file mode 100644 index 00000000..947e5194 --- /dev/null +++ b/ming-string.html @@ -0,0 +1,9 @@ + +4.5 句
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
􏽀
􏽁
􏽀?
􏽁?
􏻷?
􏸵
8.13
    contents    up   

4.5 句🔗

 (require ming/string) package: ming
Racket标准库句的名语言扩展。 +

本页所列之例程的实现代码是名语言，因此源代码有参照意义。

procedure

(􏽀 V ...) → 􏽀?

  V : any?

procedure

(􏽁 V ...) → 􏽁?

  V : any?

参见：􏾐、􏾑

􏽀：生成内容可以被修改的“字符串”。
+􏽀：生成内容不可被修改的“字符串”。 +

Examples:
> (􏽀 #\a #\b #\c #\d)

"abcd"

> (􏽁 #\a #\b #\c #\d)

"abcd"

procedure

(􏽀? V) → boolean?

  V : any?

procedure

(􏽁? V) → boolean?

  V : any?
􏽀?：是否是􏽀；
+􏽁?：是否是􏽁。 +

Examples:
> (􏽀? (􏽀 #\a #\b #\c #\d))

#t

> (􏽁? (􏽁 #\a #\b #\c #\d))

#t

procedure

(􏻷? V) → boolean?

  V : any?

另见：􏼟?

Examples:
> (􏻷? "abcdefg")

#f

> (􏻷? "")

#t

procedure

(􏸵 STR) → 句?

  STR : 句?

􏸵为新造字 +

  • 穴：空格；

  • 刀：移除、删除（刂的非偏旁写法）；

等同于：(􏼥 STR " " "")

将STR的空格全部移除。 +

Example:
> (􏸵 " a b  cd    e   ")

"abcde"

    contents    up   
 
\ No newline at end of file diff --git a/ming-vector.html b/ming-vector.html new file mode 100644 index 00000000..bd146eea --- /dev/null +++ b/ming-vector.html @@ -0,0 +1,6 @@ + +4.3 􏻿
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
􏻽
􏻽?
􏻼?
8.13
    contents    up   

4.3 􏻿🔗

 (require ming/vector) package: ming
Exention of 􏻿.

procedure

(􏻽 V ...) → 􏻽?

  V : 􏺡?
􏻽: 𭕄 + 􏻿. 
zi
+

🐘 􏻿 􏻼

Example:
> (􏻽 1 2 3 4)

'#(1 2 3 4)

procedure

(􏻽? VEC) → boolean?

  VEC : any?

procedure

(􏻼? VEC) → boolean?

  VEC : any?
􏻽?: 􏻽 + ?. 
zi
+
􏻼?: 􏻼 + ?. 
zi
+Short for (并 (水? VEC) (􏻿? VEC)) and (并 (山? VEC) (􏻿? VEC)). +

Examples:
> (􏻽? '#(1 2 3 4))

#f

> (􏻼? '#(1 2 3 4))

#t

    contents    up   
 
\ No newline at end of file diff --git a/ming/appendix.html b/ming/appendix.html new file mode 100644 index 00000000..079773a2 --- /dev/null +++ b/ming/appendix.html @@ -0,0 +1,2 @@ + +6 Appendix
▼Ming Language
►6 Appendix
On this page:
6.1 terminology
8.13
  top  contents    up   

6 Appendix🔗ℹ

6.1 terminology🔗ℹ

  top  contents    up   
 
\ No newline at end of file diff --git a/ming/blueboxes.rktd b/ming/blueboxes.rktd new file mode 100644 index 00000000..87c45fe2 --- /dev/null +++ b/ming/blueboxes.rktd @@ -0,0 +1,1357 @@ +24499 +((3) 0 () 11 ((q lib "ming/racket/base.rkt") (q lib "ming/racket/vector.rkt") (q lib "ming/racket/string.rkt") (q lib "ming/racket/list.rkt") (q lib "ming/hash.rkt") (q lib "ming/kernel.rkt") (q lib "ming/string.rkt") (q lib "ming/list.rkt") (q lib "ming/vector.rkt") (q lib "ming/racket/hash.rkt") (q lib "ming/number.rkt")) () (h ! (equal) ((c def c (c (? . 0) q 􏿰􏺇)) q (37110 . 2)) ((c def c (c (? . 0) q 句化米)) q (50171 . 2)) ((c def c (c (? . 0) q 􏹐)) q (48641 . 2)) ((c def c (c (? . 0) q 阴+--)) q (23670 . 2)) ((c def c (c (? . 0) q 􏿴化􏻿)) q (28824 . 2)) ((c def c (c (? . 0) q 入)) q (53908 . 2)) ((c def c (c (? . 0) q 􏾏?)) q (33738 . 2)) ((c def c (c (? . 0) q 􏽿^)) q (34697 . 2)) ((c def c (c (? . 0) q 丫)) q (53319 . 2)) ((c def c (c (? . 0) q 􏼅𰅡)) q (42432 . 2)) ((c def c (c (? . 0) q 数化字)) q (38319 . 2)) ((c def c (c (? . 3) q 􏷑􏺗)) q (26391 . 2)) ((c def c (c (? . 0) q 􏷇?)) q (54359 . 2)) ((c def c (c (? . 0) q 阴)) q (21051 . 2)) ((c def c (c (? . 0) q 􏻚?)) q (47472 . 2)) ((c def c (c (? . 0) q 阴-++)) q (23280 . 2)) ((c def c (c (? . 1) q 􏻿􏹇)) q (29908 . 2)) ((c def c (c (? . 7) q 􏾘^)) q (10533 . 4)) ((c def c (c (? . 0) q 􏹷)) q (50543 . 2)) ((c def c (c (? . 0) q 􏹋/侗)) q (22064 . 2)) ((c def c (c (? . 0) q ?􏺃司)) q (51143 . 2)) ((c def c (c (? . 0) q 句<=?)) q (43139 . 2)) ((c def c (c (? . 0) q 釆?)) q (47005 . 2)) ((c def c (c (? . 0) q 􏻧化)) q (47644 . 2)) ((c def c (c (? . 2) q 􏼂)) q (43913 . 3)) ((c def c (c (? . 0) q ?极式复数度???)) q (50020 . 2)) ((c def c (c (? . 0) q ?syntax-binding-set->syntax)) q (51798 . 5)) ((c def c (c (? . 0) q 右􏷎)) q (22682 . 2)) ((c def c (c (? . 6) q 􏸵)) q (12845 . 3)) ((c def c (c (? . 0) q 字>=?)) q (38635 . 2)) ((c def c (c (? . 1) q 􏻿𠆯)) q (30343 . 2)) ((c def c (c (? . 0) q 􏾎?)) q (33652 . 2)) ((c def c (c (? . 0) q >=)) q (48898 . 2)) ((c def c (c (? . 0) q 无)) q (54920 . 2)) ((c def c (c (? . 2) q 􏼩)) q (44057 . 2)) ((c def c (c (? . 0) q 句ci=?)) q (43239 . 2)) ((c def c (c (? . 1) q 􏻹)) q (29406 . 2)) ((c def c (c (? . 0) q 􏿰𠛮)) q (36417 . 2)) ((c def c (c (? . 0) q ?反正切)) q (49639 . 2)) ((c def c (c (? . 0) q 阳--+)) q (23397 . 2)) ((c def c (c (? . 3) q 􏾺?)) q (25232 . 2)) ((c def c (c (? . 3) q 􏷚)) q (23904 . 2)) ((c def c (c (? . 3) q 􏷗)) q (24028 . 2)) ((c def c (c (? . 0) q ?syntax-shift-phase-level)) q (52305 . 5)) ((c form c (c (? . 5) q 􏸧)) q (10032 . 2)) ((c def c (c (? . 3) q 􏷓)) q (24195 . 2)) ((c def c (c (? . 0) q 粊?)) q (46507 . 4)) ((c def c (c (? . 0) q 阳-)) q (22797 . 2)) ((c def c (c (? . 0) q 􏿰弔)) q (35534 . 3)) ((c def c (c (? . 4) q 􏽜?)) q (11693 . 3)) ((c def c (c (? . 7) q 􏿳?)) q (11075 . 3)) ((c def c (c (? . 0) q 􏹹)) q (50743 . 2)) ((c def c (c (? . 0) q 􏺠?)) q (46871 . 2)) ((c def c (c (? . 0) q 􏻿)) q (28419 . 2)) ((c def c (c (? . 0) q 阴+-)) q (23052 . 2)) ((c def c (c (? . 0) q 𡌶0)) q (53711 . 2)) ((c def c (c (? . 0) q 双?)) q (20974 . 2)) ((c def c (c (? . 6) q 􏽁?)) q (12745 . 3)) ((c def c (c (? . 6) q 􏻷?)) q (12795 . 3)) ((c def c (c (? . 0) q 􏿰􏾘)) q (36201 . 2)) ((c def c (c (? . 0) q 宩?)) q (46475 . 2)) ((c def c (c (? . 0) q 􏼅)) q (41721 . 2)) ((c def c (c (? . 0) q 阳+-)) q (23015 . 2)) ((c def c (c (? . 0) q 阴++)) q (22904 . 2)) ((c def c (c (? . 4) q 􏽪?)) q (12193 . 3)) ((c def c (c (? . 0) q 􏹈)) q (22428 . 2)) ((c def c (c (? . 0) q 字?/标题)) q (39157 . 2)) ((c def c (c (? . 3) q 􏷴/入)) q (24968 . 2)) ((c def c (c (? . 0) q ?datum-intern-literal)) q (52158 . 5)) ((c def c (c (? . 0) q ?正切)) q (49466 . 2)) ((c def c (c (? . 0) q 㐅?)) q (21089 . 2)) ((c def c (c (? . 0) q 􏹓)) q (48543 . 2)) ((c def c (c (? . 0) q 􏽉)) q (48276 . 2)) ((c def c (c (? . 8) q 􏻽?)) q (11283 . 3)) ((c def c (c (? . 0) q 􏿰􏽙)) q (35736 . 2)) ((c def c (c (? . 3) q 􏷴)) q (24766 . 2)) ((c def c (c (? . 0) q 同?)) q (54319 . 2)) ((c def c (c (? . 0) q 阴-+)) q (22978 . 2)) ((c def c (c (? . 1) q 􏻿􏾝)) q (29800 . 2)) ((c def c (c (? . 0) q 字属)) q (39819 . 2)) ((c def c (c (? . 0) q 字?/iso-control)) q (39612 . 2)) ((c def c (c (? . 0) q ?欧拉次方???)) q (49248 . 2)) ((c def c (c (? . 0) q 􏺃?)) q (50399 . 2)) ((c def c (c (? . 0) q 字?)) q (38220 . 2)) ((c def c (c (? . 0) q 􏿰􏺈)) q (37002 . 2)) ((c def c (c (? . 0) q 宩化􏹔句)) q (50232 . 3)) ((c def c (c (? . 3) q 􏷜)) q (23821 . 2)) ((c def c (c (? . 0) q 􏻥?)) q (46912 . 2)) ((c def c (c (? . 0) q 􏿰􏾩+)) q (35390 . 2)) ((c def c (c (? . 4) q 􏽠?)) q (12493 . 3)) ((c def c (c (? . 0) q 􏻧?)) q (47574 . 2)) ((c def c (c (? . 0) q 􏻝?)) q (47039 . 3)) ((c def c (c (? . 0) q ?整数平方根)) q (49008 . 2)) ((c def c (c (? . 0) q 􏿰攸+)) q (35140 . 2)) ((c def c (c (? . 0) q 句化􏺋)) q (40740 . 2)) ((c def c (c (? . 4) q 􏽬?)) q (11893 . 3)) ((c def c (c (? . 0) q 􏺟化)) q (47728 . 2)) ((c def c (c (? . 0) q <)) q (48873 . 2)) ((c def c (c (? . 0) q 汉字?)) q (39690 . 2)) ((c def c (c (? . 0) q 􏽀化)) q (42192 . 2)) ((c def c (c (? . 1) q 􏻿􏷉)) q (29353 . 2)) ((c def c (c (? . 0) q 􏷈?)) q (54408 . 2)) ((c def c (c (? . 0) q 字大写化)) q (40058 . 2)) ((c def c (c (? . 4) q 􏽦?)) q (11993 . 3)) ((c def c (c (? . 4) q 􏽣?)) q (12143 . 3)) ((c def c (c (? . 0) q 遍)) q (54763 . 2)) ((c def c (c (? . 0) q 格)) q (54487 . 2)) ((c def c (c (? . 7) q 􏹃)) q (10712 . 4)) ((c def c (c (? . 0) q ?syntax-binding-set-extend)) q (51981 . 5)) ((c def c (c (? . 3) q 攸)) q (24360 . 2)) ((c def c (c (? . 3) q 左􏸒)) q (25344 . 2)) ((c def c (c (? . 0) q 􏾉)) q (33147 . 2)) ((c def c (c (? . 0) q >)) q (48848 . 2)) ((c def c (c (? . 0) q 􏹋/􏾗)) q (21962 . 2)) ((c def c (c (? . 0) q 戈)) q (53514 . 2)) ((c def c (c (? . 0) q 􏹉/􏾗)) q (22195 . 2)) ((c def c (c (? . 0) q 􏹩)) q (51308 . 2)) ((c def c (c (? . 0) q 􏿰各)) q (37388 . 2)) ((c def c (c (? . 0) q 阳-++)) q (23241 . 2)) ((c def c (c (? . 1) q 􏻸?)) q (29198 . 2)) ((c def c (c (? . 0) q 勾化句)) q (40924 . 2)) ((c def c (c (? . 4) q 􏽫?)) q (11943 . 3)) ((c def c (c (? . 0) q 􏽼^)) q (34895 . 2)) ((c def c (c (? . 0) q 􏿰攸)) q (35032 . 2)) ((c def c (c (? . 0) q 行写)) q (54556 . 2)) ((c def c (c (? . 0) q 􏺟?)) q (47608 . 2)) ((c def c (c (? . 3) q 􏹨)) q (24269 . 2)) ((c def c (c (? . 0) q 􏻞化)) q (47812 . 2)) ((c def c (c (? . 3) q 偏)) q (25564 . 2)) ((c def c (c (? . 0) q 􏿰佫)) q (36892 . 2)) ((c def c (c (? . 0) q 示)) q (54601 . 2)) ((c def c (c (? . 0) q 􏺓)) q (43666 . 2)) ((c def c (c (? . 0) q ?􏿰引月)) q (37742 . 2)) ((c def c (c (? . 0) q 􏹊~/侗)) q (21626 . 2)) ((c def c (c (? . 0) q 􏻻)) q (29149 . 2)) ((c def c (c (? . 0) q 句ci>=?)) q (43538 . 2)) ((c def c (c (? . 0) q 􏹑)) q (48575 . 2)) ((c def c (c (? . 2) q 􏼟?)) q (44241 . 2)) ((c def c (c (? . 0) q 􏾈^)) q (34760 . 2)) ((c def c (c (? . 0) q 句=?)) q (43045 . 2)) ((c def c (c (? . 0) q 􏹊^/􏾃)) q (21774 . 2)) ((c def c (c (? . 2) q 􏸶?)) q (44303 . 2)) ((c def c (c (? . 4) q 􏽤?)) q (12093 . 3)) ((c def c (c (? . 3) q 􏹈分)) q (25794 . 2)) ((c def c (c (? . 3) q 􏷙)) q (23945 . 2)) ((c def c (c (? . 0) q 􏺡?)) q (46766 . 2)) ((c def c (c (? . 0) q 米?)) q (46211 . 2)) ((c def c (c (? . 0) q 字<=?/ci)) q (38794 . 2)) ((c def c (c (? . 0) q 􏹉)) q (22154 . 2)) ((c def c (c (? . 0) q 𡊤)) q (54053 . 2)) ((c def c (c (? . 0) q 双)) q (20935 . 2)) ((c def c (c (? . 0) q /)) q (48065 . 2)) ((c def c (c (? . 8) q 􏻽)) q (11231 . 3)) ((c def c (c (? . 0) q 阳)) q (21013 . 2)) ((c def c (c (? . 3) q 􏷍/笛卡尔积)) q (26546 . 2)) ((c def c (c (? . 0) q 􏹄)) q (22346 . 2)) ((c def c (c (? . 1) q 􏻿􏹈巨)) q (29967 . 2)) ((c def c (c (? . 0) q ?syntax-debug-info)) q (53190 . 4)) ((c def c (c (? . 0) q 􏽊)) q (48245 . 2)) ((c def c (c (? . 0) q 字=?/ci)) q (38686 . 2)) ((c def c (c (? . 0) q 􏺔)) q (43604 . 2)) ((c def c (c (? . 1) q 􏻿􏾺)) q (29456 . 2)) ((c def c (c (? . 0) q 勺?)) q (40463 . 2)) ((c def c (c (? . 1) q 􏻿􏸃)) q (29737 . 2)) ((c def c (c (? . 4) q 􏽥?)) q (12043 . 3)) ((c def c (c (? . 0) q 字小写化)) q (40125 . 2)) ((c def c (c (? . 0) q 􏾑化)) q (37970 . 2)) ((c def c (c (? . 7) q 􏺈)) q (11125 . 3)) ((c def c (c (? . 0) q 􏺧?)) q (47542 . 2)) ((c def c (c (? . 0) q 􏹊~/􏾃)) q (21573 . 2)) ((q def ((lib "ming/racket/keywords.rkt") 勾化􏽁)) q (41055 . 2)) ((c def c (c (? . 0) q 􏻝化)) q (47901 . 2)) ((c def c (c (? . 3) q 􏷛)) q (23862 . 2)) ((c def c (c (? . 3) q 􏼓)) q (24314 . 2)) ((c def c (c (? . 0) q 􏹚)) q (48307 . 2)) ((c def c (c (? . 3) q 􏷍序列/组合)) q (26223 . 2)) ((c def c (c (? . 0) q 􏸗)) q (53939 . 2)) ((c def c (c (? . 0) q 句>?)) q (43192 . 2)) ((c def c (c (? . 0) q +)) q (47990 . 2)) ((c def c (c (? . 7) q 伄^)) q (10269 . 4)) ((c def c (c (? . 3) q 􏹇~)) q (26626 . 2)) ((c def c (c (? . 0) q 􏽁化)) q (41817 . 3)) ((q def ((lib "ming/racket/symbol.rkt") 勺化􏽁)) q (40831 . 2)) ((c def c (c (? . 0) q 当)) q (53578 . 2)) ((c def c (c (? . 0) q 阴+)) q (22762 . 2)) ((c def c (c (? . 3) q 􏿜)) q (25473 . 2)) ((c def c (c (? . 0) q ?整数平方根余数)) q (49090 . 3)) ((c def c (c (? . 0) q 􏺣?)) q (46820 . 2)) ((c def c (c (? . 7) q 􏾝)) q (10357 . 5)) ((c def c (c (? . 0) q 􏷎)) q (22640 . 2)) ((c def c (c (? . 0) q 非)) q (53644 . 2)) ((c def c (c (? . 0) q 字<=?)) q (38539 . 2)) ((c def c (c (? . 0) q 􏿰􏽘)) q (36319 . 2)) ((c def c (c (? . 1) q 􏻿􏷑)) q (29301 . 2)) ((c def c (c (? . 0) q 􏼁)) q (42558 . 2)) ((c def c (c (? . 0) q 𠛮􏿰)) q (36637 . 2)) ((c def c (c (? . 0) q 􏻞?)) q (47166 . 4)) ((c def c (c (? . 0) q 􏻴?)) q (46688 . 2)) ((c def c (c (? . 0) q ?次方)) q (49201 . 2)) ((c def c (c (? . 0) q 􏹴)) q (51365 . 2)) ((c def c (c (? . 1) q 􏻿􏷵)) q (29568 . 2)) ((c def c (c (? . 0) q 􏾊)) q (33043 . 2)) ((c def c (c (? . 0) q ?反余弦)) q (49583 . 2)) ((c def c (c (? . 3) q 左􏸑)) q (25280 . 2)) ((c def c (c (? . 2) q 􏼥)) q (44146 . 2)) ((c def c (c (? . 3) q 􏷵)) q (24726 . 2)) ((c def c (c (? . 0) q 字>?/ci)) q (38851 . 2)) ((c def c (c (? . 0) q 􏿰􏾩/入)) q (35487 . 2)) ((c def c (c (? . 0) q 􏻿𢪛/以􏾝)) q (29005 . 2)) ((c def c (c (? . 0) q 求)) q (54848 . 2)) ((c def c (c (? . 0) q 字?/标点)) q (39345 . 2)) ((c def c (c (? . 0) q 阳+-+)) q (23319 . 2)) ((c def c (c (? . 0) q 阳++)) q (22867 . 2)) ((c def c (c (? . 0) q 􏿴?)) q (21232 . 2)) ((c def c (c (? . 0) q 禾?)) q (54089 . 2)) ((c def c (c (? . 0) q 􏸣)) q (53350 . 2)) ((c def c (c (? . 0) q ?分子)) q (48676 . 2)) ((c def c (c (? . 0) q 句)) q (41689 . 2)) ((c def c (c (? . 1) q 􏻿􏸄)) q (29680 . 2)) ((c def c (c (? . 0) q ?极式复数量???)) q (49926 . 2)) ((c def c (c (? . 0) q har-grapheme-step)) q (40338 . 4)) ((c def c (c (? . 0) q ?反正弦???)) q (49512 . 2)) ((c def c (c (? . 0) q 句化勺)) q (40635 . 2)) ((c def c (c (? . 0) q 字类)) q (39760 . 2)) ((c def c (c (? . 1) q 􏻿弓)) q (30162 . 2)) ((c def c (c (? . 4) q 􏾐?)) q (11543 . 3)) ((c def c (c (? . 0) q 宩)) q (49855 . 2)) ((c def c (c (? . 1) q 􏻿弓/􏾃)) q (30279 . 2)) ((c def c (c (? . 3) q 末)) q (24236 . 2)) ((c def c (c (? . 0) q 並)) q (53676 . 2)) ((c def c (c (? . 0) q 􏻟)) q (49890 . 2)) ((c def c (c (? . 0) q ake-known-char-range-list)) q (39885 . 5)) ((c def c (c (? . 7) q 伄)) q (10195 . 4)) ((c def c (c (? . 7) q 􏺊)) q (10623 . 5)) ((c def c (c (? . 3) q 􏷍序列/排列组合)) q (26301 . 2)) ((c def c (c (? . 0) q 字?/大写)) q (39090 . 2)) ((c def c (c (? . 3) q 􏷘)) q (23987 . 2)) ((c def c (c (? . 0) q 􏹉/侗)) q (22297 . 2)) ((c def c (c (? . 0) q 􏹾)) q (50868 . 2)) ((c def c (c (? . 0) q 句化勾)) q (40971 . 2)) ((c def c (c (? . 0) q 数字?)) q (39224 . 2)) ((c def c (c (? . 0) q 阳---)) q (23709 . 2)) ((c def c (c (? . 4) q 􏽧?)) q (12343 . 3)) ((c def c (c (? . 0) q 􏹋/􏾃)) q (22013 . 2)) ((c def c (c (? . 0) q ?最大公约数)) q (48397 . 2)) ((c def c (c (? . 4) q 􏾑?)) q (11493 . 3)) ((c def c (c (? . 3) q 左􏸓)) q (25408 . 2)) ((c def c (c (? . 0) q 􏻿化􏿴)) q (28761 . 2)) ((c def c (c (? . 0) q 句=?/ci)) q (38905 . 2)) ((c def c (c (? . 0) q 阳-+-)) q (23553 . 2)) ((c def c (c (? . 0) q 􏹊^)) q (21677 . 2)) ((c def c (c (? . 0) q 􏻿弔)) q (28658 . 2)) ((c def c (c (? . 0) q 􏼘/以􏾝)) q (42279 . 3)) ((c def c (c (? . 0) q 阴-+-)) q (23592 . 2)) ((c def c (c (? . 0) q 􏷒)) q (22471 . 2)) ((c def c (c (? . 1) q 􏻿􏷑􏺘)) q (30096 . 2)) ((c def c (c (? . 0) q ?平方根)) q (48952 . 2)) ((c def c (c (? . 3) q 𰂋)) q (25517 . 2)) ((c def c (c (? . 0) q 字度/utf-8)) q (38379 . 2)) ((c def c (c (? . 7) q 􏷍?)) q (10942 . 4)) ((c def c (c (? . 3) q 𨚞)) q (24680 . 2)) ((c def c (c (? . 4) q 􏽝?)) q (11643 . 3)) ((c def c (c (? . 0) q 阴++-)) q (23514 . 2)) ((c def c (c (? . 0) q 􏻿􏾝化並)) q (29078 . 2)) ((c def c (c (? . 0) q 句化􏺍)) q (40682 . 2)) ((c def c (c (? . 0) q 巨)) q (21357 . 2)) ((c def c (c (? . 0) q 可􏻞?)) q (47333 . 2)) ((c def c (c (? . 0) q 􏼄)) q (42920 . 3)) ((c def c (c (? . 4) q 􏽞?)) q (11593 . 3)) ((c def c (c (? . 0) q 㐅)) q (21128 . 2)) ((c def c (c (? . 0) q 􏺏?)) q (40498 . 2)) ((c def c (c (? . 0) q 阳+)) q (22727 . 2)) ((c def c (c (? . 1) q 􏻿𨚞)) q (29509 . 2)) ((c def c (c (? . 0) q ?􏿰引日)) q (37672 . 2)) ((c def c (c (? . 3) q 弓)) q (24463 . 2)) ((c def c (c (? . 3) q 􏷑􏺘)) q (26439 . 2)) ((c def c (c (? . 0) q 𥥪?)) q (47402 . 2)) ((c def c (c (? . 4) q 􏽮?)) q (11793 . 3)) ((c def c (c (? . 0) q ?极式复数???)) q (49769 . 2)) ((c def c (c (? . 0) q ?syntax-binding-set?)) q (51522 . 5)) ((c def c (c (? . 0) q 阴--)) q (23126 . 2)) ((c def c (c (? . 3) q 𠝤)) q (25694 . 2)) ((c def c (c (? . 0) q 句ci>?)) q (43478 . 2)) ((c def c (c (? . 8) q 􏻼?)) q (11337 . 3)) ((c def c (c (? . 4) q 􏽩?)) q (12243 . 3)) ((c def c (c (? . 0) q 􏼭)) q (41958 . 2)) ((c def c (c (? . 0) q 􏹵)) q (50941 . 2)) ((c def c (c (? . 0) q 􏾀^)) q (34633 . 2)) ((c def c (c (? . 3) q 􏸃)) q (25068 . 2)) ((c def c (c (? . 0) q 勺化句)) q (40588 . 2)) ((c def c (c (? . 0) q 􏹉/􏾃)) q (22246 . 2)) ((c def c (c (? . 0) q 􏺕)) q (41918 . 2)) ((c def c (c (? . 9) q 􏿰并!)) q (38105 . 2)) ((c def c (c (? . 0) q ?identifier-prune-to-source-module)) q (52842 . 5)) ((c def c (c (? . 0) q 米化句)) q (50110 . 2)) ((c def c (c (? . 3) q 􏷍/组合)) q (26085 . 2)) ((c def c (c (? . 0) q ?􏿰继引)) q (37601 . 2)) ((c def c (c (? . 7) q 􏾘)) q (10463 . 4)) ((c def c (c (? . 0) q ?矩数???)) q (49695 . 2)) ((c def c (c (? . 3) q 􏷖)) q (24069 . 2)) ((c def c (c (? . 2) q 􏼪)) q (44019 . 2)) ((c def c (c (? . 0) q 􏹅)) q (22113 . 2)) ((c def c (c (? . 4) q 􏽭?)) q (11843 . 3)) ((c def c (c (? . 4) q 􏾑)) q (11442 . 3)) ((c def c (c (? . 0) q 报参错)) q (54997 . 2)) ((c def c (c (? . 0) q 􏻓)) q (48090 . 2)) ((c form c (c (? . 5) q 􏸪)) q (10128 . 2)) ((c def c (c (? . 7) q 􏿳)) q (11024 . 3)) ((c def c (c (? . 0) q 􏹸)) q (50620 . 2)) ((c def c (c (? . 3) q 􏹂*)) q (24591 . 2)) ((c def c (c (? . 0) q ?对数)) q (49327 . 2)) ((c def c (c (? . 0) q 句ci=?)) q (43292 . 2)) ((c def c (c (? . 0) q 􏷑)) q (22515 . 2)) ((c def c (c (? . 3) q 重)) q (25649 . 2)) ((c def c (c (? . 0) q 􏺓*)) q (43828 . 2)) ((c def c (c (? . 3) q 􏼏*)) q (26034 . 2)) ((c def c (c (? . 0) q 勾?)) q (38590 . 2)) ((c def c (c (? . 9) q 􏿰交!)) q (38161 . 2)) ((c def c (c (? . 0) q 􏻲?)) q (46724 . 2)) ((c def c (c (? . 0) q ?正弦)) q (49373 . 2)) ((c def c (c (? . 0) q 􏼃)) q (42475 . 2)) ((c def c (c (? . 0) q 行示)) q (54635 . 2)) ((c def c (c (? . 0) q 阳+++)) q (23163 . 2)) ((c def c (c (? . 0) q 𠆯)) q (21880 . 2)) ((c def c (c (? . 0) q *)) q (48040 . 2)) ((c def c (c (? . 0) q 􏺌)) q (40798 . 2)) ((c def c (c (? . 4) q 􏽟?)) q (12543 . 3)) ((c def c (c (? . 0) q 字 􏿴? +  LST : 􏿴? +  N : 􏺡? +procedure +(伄^ LST N-LST) -> 􏿴? +  LST : 􏿴? +  N-LST : (listof 􏺡?) +procedure +(􏾝 LST N1 [N2]) -> 􏿴? +  LST : 􏿴? +  N1 : 􏺡? +  N2 : 􏺡? = +inf.0 +procedure +(􏾘 LST N) -> 􏿴? +  LST : 􏿴? +  N : 􏺡? +procedure +(􏾘^ LST N-LST) -> 􏿴? +  LST : 􏿴? +  N-LST : (listof? 􏺡?) +procedure +(􏺊 LST N M) -> 􏿴? +  LST : 􏿴? +  N : 􏺡? +  M : 􏺡? +procedure +(􏹃 LST PROC) -> 􏺡? +  LST : 􏿴? +  PROC : 程? +procedure +(偅 LST) -> 􏿴? +  LST : 􏿴? +procedure +(􏹊 V LST [PROC]) -> 􏿴? +  V : any/c +  LST : 􏿴? +  PROC : 程? = 同? +procedure +(􏷍? LST1 LST2) -> boolean? +  LST1 : 􏿴? +  LST2 : 􏿴? +procedure +(􏿳 V ...) -> 􏿳? +  V : any? +procedure +(􏿳? V) -> boolean? +  V : any? +procedure +(􏺈 ALST) -> 􏿴? +  ALST : 􏿳? +procedure +(􏺇 ALST) -> 􏿴? +  ALST : 􏿳? +procedure +(􏻽 V ...) -> 􏻽? +  V : 􏺡? +procedure +(􏻽? VEC) -> boolean? +  VEC : any? +procedure +(􏻼? VEC) -> boolean? +  VEC : any? +procedure +(􏾌 V ...) -> 􏾌? +  V : any? +procedure +(􏾑 V ...) -> 􏾑? +  V : any? +procedure +(􏾑? V) -> boolean? +  V : any? +procedure +(􏾐? V) -> boolean? +  V : any? +procedure +(􏽞? V) -> boolean? +  V : any? +procedure +(􏽝? V) -> boolean? +  V : any? +procedure +(􏽜? V) -> boolean? +  V : any? +procedure +(􏽛? V) -> boolean? +  V : any? +procedure +(􏽮? V) -> boolean? +  V : any? +procedure +(􏽭? V) -> boolean? +  V : any? +procedure +(􏽬? V) -> boolean? +  V : any? +procedure +(􏽫? V) -> boolean? +  V : any? +procedure +(􏽦? V) -> boolean? +  V : any? +procedure +(􏽥? V) -> boolean? +  V : any? +procedure +(􏽤? V) -> boolean? +  V : any? +procedure +(􏽣? V) -> boolean? +  V : any? +procedure +(􏽪? V) -> boolean? +  V : any? +procedure +(􏽩? V) -> boolean? +  V : any? +procedure +(􏽨? V) -> boolean? +  V : any? +procedure +(􏽧? V) -> boolean? +  V : any? +procedure +(􏽢? V) -> boolean? +  V : any? +procedure +(􏽡? V) -> boolean? +  V : any? +procedure +(􏽠? V) -> boolean? +  V : any? +procedure +(􏽟? V) -> boolean? +  V : any? +procedure +(􏽀 V ...) -> 􏽀? +  V : any? +procedure +(􏽁 V ...) -> 􏽁? +  V : any? +procedure +(􏽀? V) -> boolean? +  V : any? +procedure +(􏽁? V) -> boolean? +  V : any? +procedure +(􏻷? V) -> boolean? +  V : any? +procedure +(􏸵 STR) -> 句? +  STR : 句? +procedure +(〇? N) -> boolean? +  N : 米? +procedure +(􏹔 N) -> 釆? +  N : 米? + +------------------------------------------------------------------------------------------------------------------------------------------- +| Character | Connotation | Elucidation | Example | +------------------------------------------------------------------------------------------------------------------------------------------- +| 􏷫 as radical | resembles 􏿴 |Has the similar function process as it resembling and the type of output| 􏼓 􏼎 􏼏 􏿝 | +| | | is same as 􏿴 accordingly. | | +------------------------------------------------------------------------------------------------------------------------------------------- +| 􏷩 as radical | resembles 􏿫 |Has the similar function process as it resembling and the type of output| 􏿜 | +| | | is same as (􏿫) accordingly. | | +------------------------------------------------------------------------------------------------------------------------------------------- +|亻 as component | general subset or cousion | Returns a new list with elements produced from the input list.(Implies |伄 攸 𰂋 偏 􏾜 􏾛 偅 𠆯 􏹈 􏷍?| +| | | the input data and output data are the same type.) | | +------------------------------------------------------------------------------------------------------------------------------------------- +|阝 as component | serial subset | Returns a new list with elements serially produced from the input | 􏾝 􏾺 𨚞 􏹋 | +| | | list.(Implies the input data and output data are the same type.) | | +------------------------------------------------------------------------------------------------------------------------------------------- +|􏸋 as component | serial subset of lists | Returns a new list with elements serially produced from the input | 左􏸑 | +| | | lists.(Implies the multiple input data and output data are the same | | +| | | type.) | | +------------------------------------------------------------------------------------------------------------------------------------------- +|刂 as component | broken subset | Returns a new list with removing some elements from the input list. | 􏷵 􏷴 􏺊 􏾘 𠝤 􏹊 􏹇 | +------------------------------------------------------------------------------------------------------------------------------------------- +|􏸌 as component | broken subset of lists | Returns a new list with removing some elements from the input | 左􏸒 | +| | | lists.(Implies the multiple input data and output data are the same | | +| | | type.) | | +------------------------------------------------------------------------------------------------------------------------------------------- +|分 as component |split input list to values | Implies the type of output data is values(並). | 􏸄 􏸃 | +------------------------------------------------------------------------------------------------------------------------------------------- +|􏸍 as component |split input lists to values| Implies input data is lists and the type of output data is values(並). | 􏸄 􏸃 | +------------------------------------------------------------------------------------------------------------------------------------------- +|入 as component | same as /入 | Implies the type of input data is function. | 􏹃 􏹌 􏹅 􏹇 􏹂 | +------------------------------------------------------------------------------------------------------------------------------------------- +|土 as component | product data | Manufactures data and product new one, implies the type of output data | 􏷎 | +| | | is not same as input. | | +------------------------------------------------------------------------------------------------------------------------------------------- +| Phrase | - | - | - | +------------------------------------------------------------------------------------------------------------------------------------------- +|suffixed with 分| split data to values | 分 | 􏹈分 | +------------------------------------------------------------------------------------------------------------------------------------------- +| Punctuation | - | - | - | +------------------------------------------------------------------------------------------------------------------------------------------- +|suffixed with *| strengthen | Strengthen the process, thus the data of output may become longer, and | 弓* 􏹂* 􏼏* | +| | | the type may be changed accordingly. | | +------------------------------------------------------------------------------------------------------------------------------------------- +|suffixed with ~| soften | Soften the process, thus the output data shorter. | 􏹊~ 􏹇~ | +------------------------------------------------------------------------------------------------------------------------------------------- +|suffixed with ^| list as input | Implies the type of input data is list. | 􏹊^ 伄^ 􏾘^ | +------------------------------------------------------------------------------------------------------------------------------------------- +|inserted with /| extend prefix |Suffix of / can be considered as an extending explanation of its prefix.| 􏷍/组合 􏷍/分组 | +------------------------------------------------------------------------------------------------------------------------------------------- +|suffixed with ?| boolean as output | Implies the type of output data is boolean. | 双? 􏿴? 􏿳? | +------------------------------------------------------------------------------------------------------------------------------------------- +| Hybrid | - | - | - | +------------------------------------------------------------------------------------------------------------------------------------------- +| has /入 | function as input | Implies the type of input data is function. | 攸/入 􏾺/入 𨚞/入 | +------------------------------------------------------------------------------------------------------------------------------------------- +composition +双 : 又 + 又 = cons +composition +双? : 双 + ? = pair? +composition +阳 : 阝 + 日 = car +composition +阴 : 阝 + 月 = cdr +composition +㐅? : 㐅 + ? = null? +composition +㐅 : 㐅 = null +composition +􏿴 : 􏿴 = list +composition +􏿫 : 􏿫 = list* +composition +􏿴? : 􏿴 + ? = list? +composition +􏼎 : 弓 + 􏷫 = build-list +composition +弔 : 弔 = list-ref +composition +巨 : 巨 = length +composition +􏿝 : 毌 + 􏷫 = append +composition +􏾛 : 亻 + 屰 = reverse +composition +􏹊~ : 􏹊 + ~ = remove +composition +􏹊~/􏾗 : 􏹊~ + / + 􏾗 = remw +composition +􏹊~/􏾃 : 􏹊~ + / + 􏾃 = remv +composition +􏹊~/侗 : 􏹊~ + / + 侗 = remq +composition +􏹊^ : 􏹊 + ^ = remove* +composition +􏹊^/􏾗 : 􏹊^ + / + 􏾗 = remw* +composition +􏹊^/􏾃 : 􏹊^ + / + 􏾃 = remv* +composition +􏹊^/侗 : 􏹊^ + / + 侗 = remq* +composition +𠆯 : 亻 + 川 = sort +composition +􏹋 : 彐 + 阝 = member +composition +􏹋/􏾗 : 􏹋 + / + 􏾗 = memw +composition +􏹋/􏾃 : 􏹋 + / + 􏾃 = memv +composition +􏹋/侗 : 􏹋 + / + 侗 = memq +composition +􏹅 : 􏹌 + 阝 = memf +composition +􏹉 : 日 + 彐 = assoc +composition +􏹉/􏾗 : 􏹉 + / + 􏾗 = assw +composition +􏹉/􏾃 : 􏹉 + / + 􏾃 = assv +composition +􏹉/侗 : 􏹉 + / + 侗 = assq +composition +􏹄 : 日 + 􏹌 = assf +composition +􏹌 : 彐 + 入 = findf +composition +􏹈 : 亻 + 􏹌 = filter +composition +􏷒 : 夂 + 入 = for-each +composition +􏷑 : 亻 + 􏷒 = map +composition +􏷐 : 并 + 􏷒 = andmap +composition +􏷏 : 戈 + 􏷒 = ormap +composition +􏷎 : 土 + 􏷒 = foldl +composition +右􏷎 : 右 + 􏷎 = foldr +composition +阳+ : 阳+ = caar +composition +阴+ : 阴+ = cadr +composition +阳- : 阳- = cdar +composition +阴- : 阴- = cddr +composition +阳++ : 阳+ = caaar +composition +阴++ : 阴+ = caadr +composition +阳-+ : 阳- = cadar +composition +阴-+ : 阴- = caddr +composition +阳+- : 阳+ = cdaar +composition +阴+- : 阴+ = cdadr +composition +阳-- : 阳- = cddar +composition +阴-- : 阴- = cdddr +composition +阳+++ : 阳+ = caaaar +composition +阴+++ : 阴+ = caaadr +composition +阳-++ : 阳- = caadar +composition +阴-++ : 阴- = caaddr +composition +阳+-+ : 阳+ = cadaar +composition +阴+-+ : 阴+ = cadadr +composition +阳--+ : 阳- = caddar +composition +阴--+ : 阴- = cadddr +composition +阳++- : 阳+ = cdaaar +composition +阴++- : 阴+ = cdaadr +composition +阳-+- : 阳- = cdadar +composition +阴-+- : 阴- = cdaddr +composition +阳+-- : 阳+ = cddaar +composition +阴+-- : 阴+ = cddadr +composition +阳--- : 阳- = cdddar +composition +阴--- : 阴- = cddddr +composition +穴 : 穴 = empty +composition +􏷜 : 弔 + 一 = first +composition +􏷛 : 弔 + 二 = second +composition +􏷚 : 弔 + 三 = third +composition +􏷙 : 弔 + 四 = fourth +composition +􏷘 : 弔 + 五 = fifth +composition +􏷗 : 弔 + 六 = sixth +composition +􏷖 : 弔 + 七 = seventh +composition +􏷕 : 弔 + 八 = eighth +composition +􏷔 : 弔 + 九 = ninth +composition +􏷓 : 弔 + 十 = tenth +composition +末 : 末 = last +composition +􏹨 : 末 + 双 = last-pair +composition +􏼓 : 三 + 􏷫 = make-list +composition +攸 : 亻 + 丨 + 攵 = list-set +composition +攸/入 : 攸 + / + 入 = list-update +composition +弓 : 弓 = index-of +composition +􏹂 : 弓 + 入 = index-where +composition +弓* : 弓 + * = indexes-of +composition +􏹂* : 􏹂 + * = indexes-where +composition +􏾺 : 左 + 阝 = take +composition +𨚞 : 右 + 阝 = take-right +composition +􏷵 : 左 + 刂 = drop +composition +􏷴 : 右 + 刂 = drop-right +composition +􏾺/入 : 􏾺 + / + 入 = takef +composition +𨚞/入 : 𨚞 + / + 入 = takef-right +composition +􏷵/入 : 􏷵 + / + 入 = dropf +composition +􏷴/入 : 􏷴 + / + 入 = dropf-right +composition +􏸄 : 左 + 分 = split-at +composition +􏸃 : 右 + 分 = split-at-right +composition +􏸄/入 : 􏸄 + / + 入 = splitf-at +composition +􏸃/入 : 􏸃 + / + 入 = splitf-at-right +composition +􏾺? : 􏾺 + ? = list-prefix? +composition +左􏸑 : 左 + 同 + 􏸋 = take-common-prefix +composition +左􏸒 : 左 + 同 + 􏸌 = drop-common-prefix +composition +左􏸓 : 左 + 同 + 􏸍 = split-common-prefix +composition +􏿜 : 毌 + 􏷩 = append* +composition +𰂋 : 亻 + 间 = add-between +composition +偏 : 亻 + 扁 = flatten +composition +􏾜 : 亻 + 糸 = shuffle +composition +重 : 重 = check-duplicates +composition +𠝤 : 重 + 刂 = remove-duplicates +composition +􏹇 : 􏹌 + 刂 = filter-not +composition +􏹈分 : 􏹈 + 分 = partition +composition +􏹈巨 : 􏹈 + 巨 = count +composition +􏹈􏷑 : 􏹈 + 􏷑 = filter-map +composition +􏷑􏿝 : 􏷑 + 􏿝 = append-map +composition +􏼏 : 米 + 􏷫 = range +composition +􏼏* : 􏼏 + * = inclusive-range +composition +􏷍/组合 : 􏷍 + / + 组合 = combinations +composition +􏷍/排列组合 : 􏷍 + / + 排列组合 = permutations +composition +􏷍序列/组合 : 􏷍序列 + / + 组合 = in-combinations +composition +􏷍序列/排列组合 : 􏷍序列 + / + 排列组合 = in-permutations +composition +􏷑􏺗 : 􏷑 + 􏺗 = argmax +composition +􏷑􏺘 : 􏷑 + 􏺘 = argmin +composition +􏷍/分组 : 􏷍 + / + 分组 = group-by +composition +􏷍/笛卡尔积 : 􏷍 + / + 笛卡尔积 = cartesian-product +composition +􏹇~ : 􏹇 + ~ = remf + +---------------------------------------------------------------------------------------------------------------------- +| Character | Connotation | Elucidation |Example | +---------------------------------------------------------------------------------------------------------------------- +|扌 as component | direct modification | directly modify the orignal data and return void |􏻿􏾩 􏻿􏽒 􏻿􏷉| +---------------------------------------------------------------------------------------------------------------------- +| Phrase | – | – | – | +---------------------------------------------------------------------------------------------------------------------- +|prefixed with 􏻿| 􏻿 as input | implies the type of input data is 􏻿 |􏻿巨 􏻿弔 􏻿𠆯| +---------------------------------------------------------------------------------------------------------------------- +|suffixed with 化|minor type convertion|implies slightly convert the type of input data, i.e. from mutable to| 􏻼化 | +| | | immutable. | | +---------------------------------------------------------------------------------------------------------------------- +|inserted with 化| type convertion | implies convert the type of input data, i.e. from 􏻿 to 􏿴. |􏻿化􏿴 􏿴化􏻿 | +---------------------------------------------------------------------------------------------------------------------- +composition +􏻿 : 矢 + 十 = vector +composition +􏻿? : 􏻿 + ? = vector? +composition +􏻺 : 三 + 􏻿 = make-vector +composition +􏻼 : 山 + 􏻿 = vector-immutable +composition +􏻿巨 : 􏻿 + 巨 = vector-length +composition +􏻿弔 : 􏻿 + 弔 = vector-ref +composition +􏻿􏾩 : 􏻿 + 􏾩 = vector-set! +composition +􏻿化􏿴 : 􏻿 + 化 + 􏿴 = vector->list +composition +􏿴化􏻿 : 􏿴 + 化 + 􏻿 = list->vector +composition +􏻼化 : 􏻼 + 化 = vector->immutable-vector +composition +􏻺𰅡 : 􏻺 + 𰅡 = vector-fill! +composition +􏻿𢪛/以􏾝 : 􏻿𢪛 + / + 以􏾝 = vector-copy! +composition +􏻿􏾝化並 : 􏻿􏾝 + 化 + 並 = vector->values +composition +􏻻 : 弓 + 􏻿 = build-vector +composition +􏻸? : 􏻸 + ? = vector-empty? +composition +􏻿𢪛 : 􏻿 + 𢪛 = vector-set*! +composition +􏻿􏷑 : 􏻿 + 􏷑 = vector-map +composition +􏻿􏷉 : 􏻿 + 􏷉 = vector-map! +composition +􏻹 : 毌 + 􏻿 = vector-append +composition +􏻿􏾺 : 􏻿 + 􏾺 = vector-take +composition +􏻿𨚞 : 􏻿 + 𨚞 = vector-take-right +composition +􏻿􏷵 : 􏻿 + 􏷵 = vector-drop +composition +􏻿􏷴 : 􏻿 + 􏷴 = vector-drop-right +composition +􏻿􏸄 : 􏻿 + 􏸄 = vector-split-at +composition +􏻿􏸃 : 􏻿 + 􏸃 = vector-split-at-right +composition +􏻿􏾝 : 􏻿 + 􏾝 = vector-copy +composition +􏻿􏹈 : 􏻿 + 􏹈 = vector-filter +composition +􏻿􏹇 : 􏻿 + 􏹇 = vector-filter-not +composition +􏻿􏹈巨 : 􏻿 + 􏹈 + 巨 = vector-count +composition +􏻿􏷑􏺗 : 􏻿 + 􏷑 + 􏺗 = vector-argmin +composition +􏻿􏷑􏺘 : 􏻿 + 􏷑 + 􏺘 = vector-argmax +composition +􏻿弓 : 􏻿 + 弓 = vector-member +composition +􏻿弓/􏾗 : 􏻿弓 + / + 􏾗 = vector-memv +composition +􏻿弓/􏾃 : 􏻿弓 + / + 􏾃 = vector-memq +composition +􏻿𠆯 : 􏻿 + 𠆯 = vector-sort +composition +􏻿􏽒 : 􏻿 + 􏽒 = vector-sort! + +-------------------------------------------------------------------------------- +| 规则 | 指示 | 含义 | 举例 | +-------------------------------------------------------------------------------- +|囗/古/舌/亻 + 􏿰| “􏿰”中“键值对”唯一性的确立方式 |是通过与之对应的同?/􏾗?/􏾃?/侗?中的任一者所确立的| 􏾌、􏾋、􏾊、􏾉 | +-------------------------------------------------------------------------------- +| 山/氵 + 􏿰 | “􏿰”中“键值对”是否可变 | 是不可或可被增加、删除或修改的 | 􏾐?、􏾑? | +-------------------------------------------------------------------------------- +| ⺮/艹 + 􏿰 | “􏿰”中“键值对”之“键”的存储方式 | 是刚性或柔性的 | 􏾎?、􏾏? | +-------------------------------------------------------------------------------- +| 亻 | 相似集（类型相同且元素相似） | 出参数据与进参数据相比，类型相同且内容类似 | 􏿰攸 | +-------------------------------------------------------------------------------- +| 阝 | 连续集（类型相同且元素连续相同） | 出参数据与进参数据相比，类型相同且前者是后者的一部分 | 􏿰􏺈、􏿰􏺇 | +-------------------------------------------------------------------------------- +| 刂 |缺失集（删除、移走、去掉部分元素之后的集合）| 出参数据与进参数据相比，类型相同且前者是后者的子集 | 􏿰􏾘、􏿰𠛮 | +-------------------------------------------------------------------------------- +| 扌/!结尾 | 修改警示 | 会直接修改原始数据而非另造新数据作输出 |􏿰􏾩、􏿰𫼛、􏿰𫼛、􏿰􏽘、􏿰􏽗| +-------------------------------------------------------------------------------- +| ^结尾 | 入参 | 入参数据是􏿳类数据 | 􏿰^、􏾋^、􏾊^、􏾉^ | +-------------------------------------------------------------------------------- +| +结尾 | 入参 | 入参数据以相同方式多次出现 | 􏿰攸+、􏿰􏾩+ | +-------------------------------------------------------------------------------- +composition +􏿰 : elem + 创建 + needtofix = hash +composition +􏾋 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hashalw +composition +􏾊 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hasheqv +composition +􏾉 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hasheq +composition +􏿰? + : elem + 是否是 + needtofix + 、 + needtofix + 、 + needtofix + 、 + +needtofix + 的任一种 + = hash? +composition +􏾌? : elem + 是否是 + needtofix = hash-equal? +composition +􏾋? : elem + 是否是 + needtofix = hash-equal-always? +composition +􏾊? : elem + 是否是 + needtofix = hash-eqv? +composition +􏾉? : elem + 是否是 + needtofix = hash-eq? +composition +􏾎? : elem + 类上，键是否是被刚性存储的 = hash-strong? +composition +􏾏? : elem + 类上，键是否是被柔性存储的 = hash-weak? +composition +􏾈? : elem + 类上，键的存储是否是采用 + needtofix = hash-ephemeron? +composition +􏿰^ : elem + needtofix + 转换成 + needtofix = make-hash +composition +􏾋^ : elem + needtofix + 转换成 + needtofix = make-hashalw +composition +􏾊^ : elem + needtofix + 转换成 + needtofix = make-hasheqv +composition +􏾉^ : elem + needtofix + 转换成 + needtofix = make-hasheq +composition +􏾐^ : elem + 如上类推 = make-immutable-hash +composition +􏾆^ : elem + 如上类推 = make-immutable-hashalw +composition +􏾅^ : elem + 如上类推 = make-immutable-hasheqv +composition +􏾄^ : elem + 如上类推 = make-immutable-hasheq +composition +􏾏^ : elem + 如上类推 = make-weak-hash +composition +􏾁^ : elem + 如上类推 = make-weak-hashalw +composition +􏾀^ : elem + 如上类推 = make-weak-hasheqv +composition +􏽿^ : elem + 如上类推 = make-weak-hasheq +composition +􏾈^ : elem + 如上类推 = make-ephemeron-hash +composition +􏽽^ : elem + 如上类推 = make-ephemeron-hashalw +composition +􏽼^ : elem + 如上类推 = make-ephemeron-hasheqv +composition +􏽻^ : elem + 如上类推 = make-ephemeron-hasheq +composition +􏿰攸 : elem + 以新造数据的方式来修改某“键”对应的“值” = hash-set +composition +􏿰攸+ : elem + 以新造数据的方式来修改某些“键”所对应的“值” = hash-set* +composition +􏿰攸/入 :  = hash-update +composition +􏿰􏾩 : elem + 直接修改某“键”对应的“值” = hash-set! +composition +􏿰􏾩+ : elem + 直接修改某些“键”所对应的“值” = hash-set*! +composition +􏿰􏾩/入 :  = hash-update! +composition +􏿰弔 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阴”位数据（未找到数据则返回默认设置值）； + = hash-ref +composition +􏿰􏽙 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阳”位数据； = hash-ref-key +composition +􏿰𫼛 + : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阴”位数据（未找到数据则直接修改原数据增加新“键值对”）； + = hash-ref! +composition +􏿰日? : elem + 是否存在某“键” = hash-has-key? +composition +􏿰􏾘 : elem + 以新造数据的方式来删除某“键”和其对应的“值” = hash-remove +composition +􏿰􏽘 : elem + 直接删除某“键”和其对应的“值” = hash-remove! +composition +􏿰𠛮 : elem + 以新造数据的方式来删除全部“键”和其对应的“值” = hash-clear +composition +􏿰􏽗 : elem + 直接删除全部“键”和其对应的“值” = hash-clear! +composition +𠛮􏿰 : elem + 以删除全部“键”和其对应的“值”的方式新造空数据 = hash-copy-clear +composition +􏿰􏺆 : elem + 把某一个例程依次作用在各个明（键值对）上，出参是 + needtofix = hash-map +composition +􏿰佫 : elem + 把某一个例程依次作用在各个明（键值对）上 = hash-map/copy +composition +􏿰􏺈 : elem + 返回􏿰中所有键值对的“键”组成的 + needtofix = hash-keys +composition +􏿰􏺇 : elem + 返回􏿰中所有键值对的“值”组成的 + needtofix = hash-values +composition +􏿰化􏿳 : 􏿰 + 化 + 􏿳 = hash->list +composition +􏿰􏺈仔? : elem + 前者是否是后者的 + needtofix + 的子集 = hash-keys-subset? +composition +􏿰各 : 􏿰 + 各 = hash-for-each +composition +􏿰巨 : 􏿰 + 巨 = hash-count +composition +􏻵? : 􏻵 + ? = hash-empty? +composition +?􏿰引 : ? + 􏿰 + 引 = hash-iterate-first +composition +?􏿰继引 : ? + 􏿰 + 继 + 引 = hash-iterate-next +composition +?􏿰引日 : ? + 􏿰 + 引 + 日 = hash-iterate-key +composition +?􏿰引月 : ? + 􏿰 + 引 + 月 = hash-iterate-value +composition +?􏿰引明 : ? + 􏿰 + 引 + 明 = hash-iterate-pair +composition +?􏿰引日月 : ? + 􏿰 + 引 + 日 + 月 = hash-iterate-key+value +composition +􏾑化 : elem + 将 + needtofix + 转化为 + needtofix = hash-copy +composition +􏿰并 : 􏿰 + 并 = hash-union +composition +􏿰并! : 􏿰 + 并 + ! = hash-union! +composition +􏿰交! : 􏿰 + 交 + ! = hash-intersect +composition +字? : 字 + ? = char? +composition +字化数 : 字 + 化 + 数 = char->integer +composition +数化字 : 数 + 化 + 字 = integer->char +composition +字度/utf-8 : 字度 + / + utf-8 = char-utf-8-length +composition +字=? : 字 + = + ? = char=? +composition +字? : 字 + > + ? = char>? +composition +字>=? : 字 + > + = + ? = char>=? +composition +字=?/ci : 字=? + / + ci = char-ci=? +composition +字?/ci : 字>? + / + ci = char-ci>? +composition +字>=?/ci : 字>=? + / + ci = char-ci>=? +composition +字?/英 : 字? + / + 英 = char-alphabetic? +composition +字?/小写 : 字? + / + 小写 = char-lower-case? +composition +字?/大写 : 字? + / + 大写 = char-upper-case? +composition +字?/标题 : 字? + / + 标题 = char-title-case? +composition +数字? : 数 + 字 + ? = char-numeric? +composition +字?/符号 : 字? + / + 符号 = char-symbolic? +composition +字?/标点 : 字? + / + 标点 = char-punctuation? +composition +字?/象形 : 字? + / + 象形 = char-graphic? +composition +字?/whitespace : 字? + / + whitespace = char-whitespace? +composition +字?/blank : 字? + / + blank = char-blank? +composition +字?/iso-control : 字? + / + iso-control = char-iso-control? +composition +汉字? : 汉 + 字 + ? = char-extended-pictographic? +composition +字类 : 字 + 类 = char-general-category +composition +字属 : 字 + 属 = char-grapheme-break-property +composition +ake-known-char-range-list + : a + k + e + - + k + n + o + w + n + - + c + h + a + r + - + r + a + n ++ g + e + - + l + i + s + t + = make-known-char-range-list +composition +字大写化 : 字 + 大 + 写 + 化 = char-upcase +composition +字小写化 : 字 + 小 + 写 + 化 = char-downcase +composition +字标题化 : 字 + 标 + 题 + 化 = char-titlecase +composition +字标题化* : 字 + 标 + 题 + 化 + * = char-foldcase +composition +har-grapheme-step + : h + a + r + - + g + r + a + p + h + e + m + e + - + s + t + e + p + = char-grapheme-step +composition +勺? :  = symbol? +composition +􏺏? :  = symbol-interned? +composition +􏺋? :  = symbol-unreadable? +composition +勺化句 :  = symbol->string +composition +句化勺 :  = string->symbol +composition +句化􏺍 :  = string->uninterned-symbol +composition +句化􏺋 :  = string->unreadable-symbol +composition +􏺌 :  = gensym +composition +勺化􏽁 :  = symbol->immutable-string +composition +勾? :  = keyword? +composition +勾化句 :  = keyword->string +composition +句化勾 :  = string->keyword +composition +勾immutable-string + +-------------------------------------- +| 规则 | 指示 | 含义 | 举例 | +-------------------------------------- +|下偏旁句|指示出参|出参是句结构| 句、􏽀、􏼅、􏼄、􏼃、􏼂 | +-------------------------------------- +|右偏旁句|指示出参|出参是句结构| 􏼪、􏼲 | +-------------------------------------- +|左偏旁句|指示入参|入参是句结构|􏺕、􏼭、􏼩、􏼳、􏼥、􏼝、􏼛、􏺔、􏺓、􏺒| +-------------------------------------- +composition +句? : 句 + ? = string? +composition +句 :  = string +composition +􏼅 : elem + 构造内容是若干个相同元素的 + needtofix = make-string +composition +􏽁化 : elem + 把 + needtofix + 转变为 + needtofix + = string->immutable-string +composition +􏺕 :  = string-length +composition +􏼭 :  = string-ref +composition +􏼘 : elem + 直接修改原始数据第N处字（从0算起）为某字 = string-set! +composition +句􏾝 : elem + 返回句第N到M处内容组成的 + needtofix = substring +composition +􏽀化 : elem + 把 + needtofix + 转化为 + needtofix = string-copy +composition +􏼘/以􏾝 : elem + 从第N处字（从0算起）开始做覆盖（以另一个句的 + needtofix + 结果为内容） + = string-copy! +composition +􏼅𰅡 :  = string-fill! +composition +􏼃 : elem + 把很多句连成一个 + needtofix = string-append +composition +􏼁 : elem + 把很多句连成一个 + needtofix = string-append-immutable +composition +􏼳 + : elem + 句化字􏿴：把 + needtofix + 转化为 + needtofix + （由 + needtofix + 组成） + = string->list +composition +􏼲 + : elem + 字􏿴化句：把 + needtofix + （由 + needtofix + 组成）转化为 + needtofix + = list->string +composition +􏼄 : elem + 构造内容是一系列序数转化成 + needtofix + 所组成的 + needtofix + = build-string +composition +句=? : 句 + = + ? = string=? +composition +句? : 句 + > + ? = string>? +composition +句>=? : 句 + > + = + ? = string>=? +composition +句ci=? : 句 + c + i + = + ? = string-ci=? +composition +句ci? : 句 + c + i + > + ? = string-ci>? +composition +句ci>=? : 句 + c + i + > + = + ? = string-ci>=? +composition +􏺔 : elem + 将句大写化 = string-upcase +composition +􏺓 : elem + 将句小写化 = string-downcase +composition +􏺒 : elem + 将句中单词首字母大写化其余小写化 = string-titlecase +composition +􏺓* : elem + 将句中单词做CaseFolding处理 = string-foldcase +composition +􏼂 : elem + 类 + needtofix + ，不过最后一个句是 + needtofix + = string-append* +composition +􏼪 :  = string-join +composition +􏼩 :  = string-split +composition +􏼛 :  = string-normalize-spaces +composition +􏼥 :  = string-replace +composition +􏼝 : elem + 修剪句 = string-trim +composition +􏼟? : elem + 非空句? = non-empty-string? +composition +􏸶? : elem + 某句是否是某句中间的一部分 = string-contains? +composition +􏼹? : elem + 某句是否是某句起头的一部分 = string-prefix? +composition +􏼸? : elem + 某句是否是某句末尾的一部分 = string-suffix? + +----------------------------------------------------------- +| 规则 | 含义 | 举例 | +----------------------------------------------------------- +| 下偏旁米 | 大类概念 | 米?、夈?、宩、􏻟、粊?、䉾?、􏻥? | +----------------------------------------------------------- +| 上偏旁米 | 常用概念 | 􏻛?、􏻚?、􏺧?、􏺦? | +----------------------------------------------------------- +|整体性结构的米| 常用概念 | 米?、􏻴?、釆? | +----------------------------------------------------------- +| 偏旁石 | “准确”相关 | 􏻧?、􏻲?、􏺟?，􏺡? | +----------------------------------------------------------- +| 左偏旁米 |内部实现、运算或转化例程（进参、出参都是数字）| 􏽉、􏽊、􏺗、􏺘 | +----------------------------------------------------------- +| 偏旁􏻴 | 整数相关 | 􏹓、􏻲?、􏺡? | +----------------------------------------------------------- +| 偏旁彡 | 近视值 | 􏹔、􏹓、􏹒、􏹑、􏹐 | +----------------------------------------------------------- +| 左偏旁立 | 精确位数 | 􏻞?、􏻝? | +----------------------------------------------------------- +| 化 | 类型转化 |􏻧化、􏺟化， 􏻞化、􏻝化，米化句、句化米、宩化􏹔句| +----------------------------------------------------------- +composition +米? :  = number? +composition +夈? + : elem + 复数?（各取偏旁得造，复数=实数+虚数；另 + needtofix + 是 + needtofix + 的简写， + +needtofix + 通 + needtofix + ，故也有所有的数终归都是复数之意） + = complex? +composition +宩? :  = real? +composition +粊? + : elem + 有理数?（可以用两个整数之比表示的实数称为有理数（无理数用 + needtofix + 表示（北是背的原形））） + = rational? +composition +􏻴? :  = integer? +composition +􏻲? :  = exact-integer? +composition +􏺡? :  = exact-nonnegative-integer? +composition +􏺣? :  = exact-positive-integer? +composition +􏺠? :  = inexact-real? +composition +􏻥? : elem + 固定数（ + needtofix + 的一种具体实现） = fixnum? +composition +釆? :  = flonum? +composition +􏻝? : elem + 双倍精度浮点数（仿 + needtofix + ，且占用64位内存而得造） + = double-flonum? +composition +􏻞? + : elem + 单倍精度浮点数（ + needtofix + 是 + needtofix + 的简写，因其在实现上占用32位内存而得造） + = single-flonum? +composition +可􏻞? : 可 + 􏻞 + ? = single-flonum-available? +composition +𥥪? :  = zero? +composition +􏻛? :  = positive? +composition +􏻚? :  = negative? +composition +􏺦? :  = even? +composition +􏺧? :  = odd? +composition +􏻧? :  = exact? +composition +􏺟? :  = inexact? +composition +􏻧化 : elem + needtofix + 转化为 + needtofix = inexact->exact +composition +􏺟化 : elem + needtofix + 转化为 + needtofix = exact->inexact +composition +􏻞化 : elem + needtofix + 转化为 + needtofix = real->single-flonum +composition +􏻝化 : elem + needtofix + 转化为 + needtofix = real->double-flonum +composition ++ :  = + +composition +- :  = - +composition +* :  = * +composition +/ :  = / +composition +􏻓 :  = quotient +composition +𥺌 :  = remainder +composition +􏻓和𥺌 :  = quotient/remainder +composition +糢 :  = modulo +composition +􏽊 :  = add1 +composition +􏽉 :  = sub1 +composition +􏹚 :  = abs +composition +􏺗 :  = max +composition +􏺘 :  = min +composition +?最大公约数 : ? + 最 + 大 + 公 + 约 + 数 = gcd +composition +?最小公约数 : ? + 最 + 小 + 公 + 约 + 数 = lcm +composition +􏹓 :  = round +composition +􏹑 :  = floor +composition +􏹒 :  = ceiling +composition +􏹐 :  = truncate +composition +?分子 : ? + 分 + 子 = numerator +composition +?分母 : ? + 分 + 母 = denominator +composition +?粊化 :  = rationalize +composition += :  = = +composition +> :  = > +composition +< :  = < +composition +>= :  = >= +composition +<= :  = <= +composition +?平方根 : ? + 平 + 方 + 根 = sqrt +composition +?整数平方根 : ? + 整 + 数 + 平 + 方 + 根 = integer-sqrt +composition +?整数平方根余数 : ? + 整 + 数 + 平 + 方 + 根 + 余 + 数 + = integer-sqrt/remainder +composition +?次方 : ? + 次 + 方 = expt +composition +?欧拉次方??? : ? + 欧 + 拉 + 次 + 方 + ? + ? + ? = exp +composition +?对数 : ? + 对 + 数 = log +composition +?正弦 : ? + 正 + 弦 = sin +composition +?余弦 : ? + 余 + 弦 = cons +composition +?正切 : ? + 正 + 切 = tan +composition +?反正弦??? : ? + 反 + 正 + 弦 + ? + ? + ? = asin +composition +?反余弦 : ? + 反 + 余 + 弦 = acos +composition +?反正切 : ? + 反 + 正 + 切 = atan +composition +?矩数??? : ? + 矩 + 数 + ? + ? + ? = make-rectangular +composition +?极式复数??? : ? + 极 + 式 + 复 + 数 + ? + ? + ? = make-polar +composition +宩 :  = real-part +composition +􏻟 :  = imag-part +composition +?极式复数量??? : ? + 极 + 式 + 复 + 数 + 量 + ? + ? + ? = magnitude +composition +?极式复数度??? : ? + 极 + 式 + 复 + 数 + 度 + ? + ? + ? = angle +composition +米化句 : 米 + 化 + 句 = number->string +composition +句化米 : 句 + 化 + 米 = string->number +composition +宩化􏹔句 : elem + 将 + needtofix + 转化成 + needtofix + needtofix + = real->decimal-string +composition +􏺃 : elem + 生成代码 = syntax +composition +􏺃? : elem + 代码（包含了词法信息和位置信息的数据） = syntax? +composition +卩? : 卩 + ? = identifier? +composition +􏹷 : elem + 地址，比如是文件路径 = syntax-source +composition +􏹸 : elem + 所在文件的具体哪一行（纬是横向的，参见“纬线”一词） = syntax-line +composition +􏹹 : elem + 所在文件的具体哪一列（经是竖向的，参见“经线”一词） = syntax-column +composition +􏹾 : elem + 所在文件的第几位 = syntax-position +composition +􏹵 : elem + 所占用的长度（从0算起） = syntax-span +composition +?syntax-original? + : ? + s + y + n + t + a + x + - + o + r + i + g + i + n + a + l + ? + = syntax-original? +composition +?􏺃司 : ? + 􏺃 + 司 = syntax-source-module +composition +􏹲 : elem + 以解开􏺃的方式转化成文（（原料数据）） = syntax-e +composition +􏹩 : elem + 􏺃化􏿴 = syntax->list +composition +􏹴 : elem + 􏺃化文（将􏺃转化成文（原料数据）） = syntax->datum +composition +􏹳 : elem + 文化􏺃 = datum->syntax +composition +?syntax-binding-set? + : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e ++ t + ? + = syntax-binding-set? +composition +?syntax-binding-set + : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e ++ t + = syntax-binding-set +composition +?syntax-binding-set->syntax + : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e ++ t + - + > + s + y + n + t + a + x + = syntax-binding-set->syntax +composition +?syntax-binding-set-extend + : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e ++ t + - + e + x + t + e + n + d + = syntax-binding-set-extend +composition +?datum-intern-literal + : ? + d + a + t + u + m + - + i + n + t + e + r + n + - + l + i + t + e ++ r + a + l + = datum-intern-literal +composition +?syntax-shift-phase-level + : ? + s + y + n + t + a + x + - + s + h + i + f + t + - + p + h + a + s ++ e + - + l + e + v + e + l + = syntax-shift-phase-level +composition +?generate-temporaries + : ? + g + e + n + e + r + a + t + e + - + t + e + m + p + o + r + a + r ++ i + e + s + = generate-temporaries +composition +?identifier-prune-lexical-context + : ? + i + d + e + n + t + i + f + i + e + r + - + p + r + u + n + e + - ++ l + e + x + i + c + a + l + - + c + o + n + t + e + x + t + = identifier-prune-lexical-context +composition +?identifier-prune-to-source-module + : ? + i + d + e + n + t + i + f + i + e + r + - + p + r + u + n + e + - ++ t + o + - + s + o + u + r + c + e + - + m + o + d + u + l + e + = identifier-prune-to-source-module +composition +?syntax-recertify + : ? + s + y + n + t + a + x + - + r + e + c + e + r + t + i + f + y + = syntax-recertify +composition +?syntax-debug-info + : ? + s + y + n + t + a + x + - + d + e + b + u + g + - + i + n + f + o + = syntax-debug-info +composition +丫 : 丫 = if +composition +􏸣 : elem + needtofix + + + needtofix = when +composition +􏸟 : elem + needtofix + + + needtofix = unless +composition +并 : 并 = and +composition +戈 : 戈 = or +composition +肖 : 肖 = case +composition +当 : 当 = cond +composition +夬 : 夬 = else +composition +非 : 非 = not +composition +並 : 並 = values +composition +𡌶0 : 𡌶 + 0 = call-with-values +composition +􏸾 : elem + needtofix + + + needtofix = define-values +composition +􏸽 : elem + needtofix + + + needtofix = let-values +composition +入 : 入 = λ +composition +􏸗 : 入 + 肖 = case-lambda +composition +名 : 名 = define +composition +令 : 令 = let +composition +𡊤 : 𡊤 = apply +composition +禾? : 禾 + ? = procedure? +composition +秝 : 禾 + 禾 = compose +composition +􏸕 : 秝 + 一 = compose1 +composition +􏸘 : 禾 + 名 + 攵 = procedure-rename +composition +𥟍 : 禾 + 非 = negate +composition +同? : 同 + ? = equal? +composition +􏷇? : 􏷇 + ? = equal-always? +composition +􏷈? : 􏷈 + ? = eqv? +composition +􏷆? : 􏷆 + ? = eq? +composition +格 : 格 = format +composition +写 : 写 = write +composition +行写 : 行 + 写 = writeln +composition +示 : 示 = print +composition +行示 : 行 + 示 = println +composition +陈 : 陈 = display +composition +行陈 : 行 + 陈 = displayln +composition +遍 : 遍 = for +composition +遍/􏿴 : 遍 + / + 􏿴 = for/list +composition +求 : 求 = eval +composition +无? : 无 + ? = void? +composition +无 : 无 = void +composition +山? : 山 + ? = immutable? +composition +报参错 : 报 + 参 + 错 = raise-argument-error diff --git a/ming/cangjie.css b/ming/cangjie.css new file mode 100644 index 00000000..ba55b4ed --- /dev/null +++ b/ming/cangjie.css @@ -0,0 +1,9 @@ + +@font-face { + font-family: cangjie; + font-style: normal; /* italic oblique */ + font-weight: normal; /* normal bold lighter bolder 100 900 */ + font-stretch: normal; /* condensed expanded ultra-expanded 50% */ + src: url('data:font/truetype;base64, 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') format('truetype'); +} + diff --git a/ming/characters.html b/ming/characters.html new file mode 100644 index 00000000..59883f40 --- /dev/null +++ b/ming/characters.html @@ -0,0 +1,3 @@ + +5.4 字
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.4 字
On this page:
5.4.1 字，字?
5.4.2 例程
字?
字化数
数化字
字度/  utf-8
字=?
字<?
字<=?
字>?
字>=?
字=?/  ci
字<?/  ci
字<=?/  ci
字>?/  ci
字>=?/  ci
字?/  英
字?/  小写
字?/  大写
字?/  标题
数字?
字?/  符号
字?/  标点
字?/  象形
字?/  whitespace
字?/  blank
字?/  iso-control
汉字?
字类
字属
ake-known-char-range-list
字大写化
字小写化
字标题化
字标题化*
har-grapheme-step
8.13
  top  contents    up   

5.4 字🔗ℹ

5.4.1 字，字?🔗ℹ


+“字”（characters）就是通常所谓的“字符”。

5.4.2 例程🔗ℹ

 (require ming/racket/base) package: ming

composition

字? : 字 + ? = char?

composition

字化数 : 字 + 化 + 数 = char->integer

composition

数化字 : 数 + 化 + 字 = integer->char

composition

字度/utf-8 : 字度 + / + utf-8 = char-utf-8-length

composition

字=? : 字 + = + ? = char=?

composition

字<? : 字 + < + ? = char<?

composition

字<=? : 字 + < + = + ? = char<=?

composition

字>? : 字 + > + ? = char>?

composition

字>=? : 字 + > + = + ? = char>=?

composition

字=?/ci : 字=? + / + ci = char-ci=?

composition

字<?/ci : 字<? + / + ci = char-ci<?

composition

字<=?/ci : 字<=? + / + ci = char-ci<=?

composition

字>?/ci : 字>? + / + ci = char-ci>?

composition

字>=?/ci : 字>=? + / + ci = char-ci>=?

composition

字?/英 : 字? + / + 英 = char-alphabetic?

composition

字?/小写 : 字? + / + 小写 = char-lower-case?

composition

字?/大写 : 字? + / + 大写 = char-upper-case?

composition

字?/标题 : 字? + / + 标题 = char-title-case?

composition

数字? : 数 + 字 + ? = char-numeric?

composition

字?/符号 : 字? + / + 符号 = char-symbolic?

composition

字?/标点 : 字? + / + 标点 = char-punctuation?

composition

字?/象形 : 字? + / + 象形 = char-graphic?

composition

字?/whitespace : 字? + / + whitespace = char-whitespace?

composition

字?/blank : 字? + / + blank = char-blank?

composition

字?/iso-control : 字? + / + iso-control = char-iso-control?

composition

汉字? : 汉 + 字 + ? = char-extended-pictographic?

composition

字类 : 字 + 类 = char-general-category

composition

字属 : 字 + 属 = char-grapheme-break-property

composition

ake-known-char-range-list

 : a + k + e + - + k + n + o + w + n + - + c + h + a + r + - + r + a + n + g + e + - + l + i + s + t
 = make-known-char-range-list

composition

字大写化 : 字 + 大 + 写 + 化 = char-upcase

composition

字小写化 : 字 + 小 + 写 + 化 = char-downcase

composition

字标题化 : 字 + 标 + 题 + 化 = char-titlecase

composition

字标题化* : 字 + 标 + 题 + 化 + * = char-foldcase

composition

har-grapheme-step

 : h + a + r + - + g + r + a + p + h + e + m + e + - + s + t + e + p
 = char-grapheme-step

  top  contents    up   
 
\ No newline at end of file diff --git a/ming/conditionals.html b/ming/conditionals.html new file mode 100644 index 00000000..7a1b0e95 --- /dev/null +++ b/ming/conditionals.html @@ -0,0 +1,4 @@ + +5.10 Conditionals
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.10 Conditionals
On this page:
5.10.1 丫，􏸣、􏸟
5.10.2 并、戈
5.10.3 当、肖，夬
5.10.4 非
5.10.5 References
丫
􏸣
􏸟
并
戈
肖
当
夬
非
8.13
  top  contents    up   

5.10 Conditionals🔗ℹ

5.10.1 丫，􏸣、􏸟🔗ℹ

🐘 􏸞

  • 丫: imagine a data flow that is importing in, and there are two paths it can be exported out.
    zi

  • 􏸣: for the data flow case of 丫, imagine 一 as a barrier which has blocked one direction of the export paths, thus the other export path is extended.
    zi

  • 􏸟: (􏸟 a b1 ...) is short for (􏸣 (非 a) b1 ...).
    zi

Examples:
> (丫 (= 1 1) 'equal 'unequal)

'equal

> (􏸣 (= 1 1) 'equal)

'equal

> (􏸟 (= 1 2) 'unequal)

'unequal

5.10.2 并、戈🔗ℹ

  • 并: simplifies for 𠀤 in ancient chinese, means merge two or more than two objects as one, especially means and in ming-lang.
    zi

  • 戈: simplifies for 或, which means or in modern chinese.
    zi

Examples:
> (并 1 2 3)

3

> (戈 1 2 3)

1

> (并 #t #t #f)

#f

> (戈 #f #f #t)

#t

5.10.3 当、肖，夬🔗ℹ

  • 当: means when, on the condition of in modern chinese.
    zi

  • 肖: means resemble, case in modern chinese.
    zi

  • 夬: simplifies for 缺/决 in ancient chinese, means absent/burst, especially means when no conditions or cases take effect in ming-lang.
    +Imagine that the data flow is importing in, lots of conditions and cases are implemented as export paths, 夬 is a breaking point for data to export when no valid conditions and cases are effective.
    zi

Examples:
> (当
    [(􏻛? 0) (displayln "positive number")]
    [(􏻛? 0) (displayln "negative number")]
    [夬 (displayln "neither positive or negative number")])

neither positive or negative number

> (肖 (+ 1 1)
    [(1) (displayln "result is 1")]
    [(2) (displayln "result is 2")]
    [夬 (displayln "result is neither 1 or 2")])

result is 2

5.10.4 非🔗ℹ

🐘 𥟍

非: means not in modern chinese.
zi
+

Examples:
> (非 1)

#f

> ((𥟍 𥥪?) 1)

#t

5.10.5 References🔗ℹ

 (require ming/racket/base) package: ming

composition

丫 : 丫 = if

composition

􏸣 : elem + needtofix + + + needtofix = when

composition

􏸟 : elem + needtofix + + + needtofix = unless

composition

并 : 并 = and

composition

戈 : 戈 = or

composition

肖 : 肖 = case

composition

当 : 当 = cond

composition

夬 : 夬 = else

composition

非 : 非 = not

  top  contents    up   
 
\ No newline at end of file diff --git a/ming/doc-index.html b/ming/doc-index.html new file mode 100644 index 00000000..e7dc142f --- /dev/null +++ b/ming/doc-index.html @@ -0,0 +1,2 @@ + +Index
▼Ming Language
  top  contents    up  next → 

Index🔗ℹ

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

 

*
+
-
/
<
<=
=
>
>=
?datum-intern-literal
?generate-temporaries
?identifier-prune-lexical-context
?identifier-prune-to-source-module
?syntax-binding-set
?syntax-binding-set->syntax
?syntax-binding-set-extend
?syntax-binding-set?
?syntax-debug-info
?syntax-original?
?syntax-recertify
?syntax-shift-phase-level
?余弦
?分子
?分母
?反余弦
?反正切
?反正弦???
?对数
?平方根
?整数平方根
?整数平方根余数
?最大公约数
?最小公约数
?极式复数???
?极式复数度???
?极式复数量???
?次方
?欧拉次方???
?正切
?正弦
?矩数???
?粊化
?􏺃司
?􏿰引
?􏿰引日
?􏿰引日月
?􏿰引明
?􏿰引月
?􏿰继引
Additional References
ake-known-char-range-list
Appendix
Base References
Character implications
Characters
Chineseoid characters
Code highlight for Emacs editor
Conditionals
Fonts and Input method
GGFSM
har-grapheme-step
Hybrids
kernel of ming lang
Lisp and its parenthsis
ming
Ming Language
Ming Libraries
ming/hash
ming/kenel
ming/kernel
ming/list
ming/number
ming/racket/base
ming/racket/base
ming/racket/function
ming/racket/hash
ming/racket/keywords
ming/racket/list
ming/racket/list
ming/racket/string
ming/racket/symbol
ming/racket/vector
ming/string
ming/vector
Naming Rules
Naming Rules
Naming Rules
Phrases
Punctuations
Racket Libraries
Rationale
References
References
Startup
terminology
〇?
㐅
㐅?
並
並
丫
丫，􏸣、􏸟
令
伄
伄^
位置信息：􏹷，􏹸、􏹹，􏹾，􏹵
例程
例程命名规则
偅
偏
入
入、􏸗
写
勾
勾<?
勾?
勾?，勾化句、句化勾、勾化􏽁
勾化句
勾化􏽁
卩?
双
双 and 􏿴
双, 㐅, 􏿴, 􏿫, 阴, 阳
双?
句
句
句
句<=?
句<?
句=?
句>=?
句>?
句?
句ci<=?
句ci<?
句ci=?
句ci>=?
句ci>?
句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?
句化勾
句化米
句化勺
句化􏺋
句化􏺍
句􏾝
可􏻞?
右􏷎
同?
同? 􏷇? 􏷆? 􏷈?
名
命名规则
基础例程
基础例程
基础例程
基础例程
基础例程
夈?
大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?
夬
字
字<=?
字<=?/ci
字<?
字<?/ci
字=?
字=?/ci
字>=?
字>=?/ci
字>?
字>?/ci
字?
字?/blank
字?/iso-control
字?/whitespace
字?/大写
字?/小写
字?/标点
字?/标题
字?/符号
字?/英
字?/象形
字化数
字大写化
字小写化
字属
字度/utf-8
字标题化
字标题化*
字类
字，字?
实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?
宩
宩?
宩化􏹔句
山?
左􏸑
左􏸑, 左􏸒, 左􏸓
左􏸒
左􏸓
巨
巨
常用概念：􏻛?、􏻚?，􏺧?、􏺦?
常用概念：􏻴?，𥥪?
并
并、戈
弓
弓*
弔
弔, 弓,弓*, 􏹂, 􏹂*
当
当、肖，夬
戈
报参错
攸
攸
攸/入
数值修改：􏹚，􏹓、􏹒、􏹑、􏹐
数化字
数字?
数的类型例程
数的运算例程
无
无?
未分类
末
末, 􏹨
格
求
汉字?
示
禾
禾?
禾、禾?
秝
穴
米
米
米?
米化句
类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句
粊?
糢
组合表达：􏻲?，􏺡?
肖
行写
行示
行陈
转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋
转化：􏹲，􏹩，􏹴、􏹳
运算概念：􏽊、􏽉，􏺗、􏺘
遍
遍/􏿴
遍?
釆?
重
阳
阳+
阳++
阳+++
阳++-
阳+-
阳+-+
阳+--
阳-
阳-+
阳-++
阳-+-
阳--
阳--+
阳---
阴
阴+
阴++
阴+++
阴++-
阴+-
阴+-+
阴+--
阴-
阴-+
阴-++
阴-+-
阴--
阴--+
阴---
阴阳+-
陈
非
非
额外例程
额外例程
额外例程
额外例程
𠆯
𠛮􏿰
𠝤
𡊤
𡌶0
𥟍
𥥪?
𥺌
𨚞
𨚞/入
勺
勺?
勺?、􏺏?、􏺋?，􏺌
勺化句
勺化􏽁
𰂋
𰂋，偏，􏾜，重、𠝤
𰅰，並，𡌶
􏷆?
􏷇?
􏷈?
􏷍/分组
􏷍/排列组合
􏷍/笛卡尔积
􏷍/组合
􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组
􏷍?
􏷍序列/排列组合
􏷍序列/组合
􏷎
􏷏
􏷐
􏷑
􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘
􏷑􏺗
􏷑􏺘
􏷑􏿝
􏷒
􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎
􏷓
􏷔
􏷕
􏷖
􏷗
􏷘
􏷙
􏷚
􏷛
􏷜
􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓
􏷴
􏷴/入
􏷵
􏷵/入
􏸃
􏸃/入
􏸄
􏸄/入
􏸕
􏸗
􏸘
􏸘
􏸛，􏸚
􏸞
􏸟
􏸣
􏸧
􏸪
􏸫
􏸬
􏸵
􏸶?
􏸽
􏸾
􏹂
􏹂*
􏹃
􏹄
􏹅
􏹇
􏹇~
􏹈
􏹈分
􏹈分，􏹈巨
􏹈巨
􏹈􏷑
􏹉
􏹉/侗
􏹉/􏾃
􏹉/􏾗
􏹊
􏹊^
􏹊^/侗
􏹊^/􏾃
􏹊^/􏾗
􏹊~
􏹊~/侗
􏹊~/􏾃
􏹊~/􏾗
􏹋
􏹋/侗
􏹋/􏾃
􏹋/􏾗
􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇
􏹌
􏹐
􏹑
􏹒
􏹓
􏹔
􏹚
􏹨
􏹩
􏹲
􏹳
􏹴
􏹵
􏹷
􏹸
􏹹
􏹾
􏺃
􏺃
􏺃?
􏺃，卩?，􏺃?
􏺇
􏺈
􏺊
􏺋?
􏺌
􏺏?
􏺒
􏺓
􏺓*
􏺔
􏺔，􏺓，􏺒
􏺕
􏺕，􏼭，句􏾝
􏺗
􏺘
􏺟?
􏺟化
􏺠?
􏺡?
􏺣?
􏺦?
􏺧?
􏻓
􏻓和𥺌
􏻚?
􏻛?
􏻝?
􏻝化
􏻞?
􏻞化
􏻟
􏻥?
􏻧?
􏻧化
􏻲?
􏻴?
􏻵?
􏻷?
􏻸?
􏻹
􏻺
􏻺𰅡
􏻻
􏻼
􏻼?
􏻼化
􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並
􏻽
􏻽?
􏻿
􏻿
􏻿
􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?
􏻿?
􏻿化􏿴
􏻿巨
􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒
􏻿弓
􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇
􏻿弓/􏾃
􏻿弓/􏾗
􏻿弔
􏻿𠆯
􏻿𢪛
􏻿𢪛/以􏾝
􏻿𨚞
􏻿􏷉
􏻿􏷑
􏻿􏷑􏺗
􏻿􏷑􏺘
􏻿􏷴
􏻿􏷵
􏻿􏸃
􏻿􏸄
􏻿􏹇
􏻿􏹈
􏻿􏹈巨
􏻿􏽒
􏻿􏾝
􏻿􏾝化並
􏻿􏾩
􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝
􏻿􏾺
􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝
􏼁
􏼂
􏼃
􏼄
􏼅
􏼅，􏼄
􏼅𰅡
􏼎
􏼏
􏼏*
􏼓
􏼓, 􏼎
􏼘
􏼘/以􏾝
􏼘，􏼘/以􏾝，􏼅𰅡
􏼛
􏼝
􏼟?
􏼥
􏼩
􏼩、􏼪，􏼳、􏼲
􏼪
􏼭
􏼲
􏼳
􏼸?
􏼹?
􏼹?，􏼸?，􏸶?
􏽀
􏽀?
􏽀化
􏽁
􏽁?
􏽁化
􏽁化，􏽀化
􏽉
􏽊
􏽛?
􏽜?
􏽝?
􏽞?
􏽟?
􏽠?
􏽡?
􏽢?
􏽣?
􏽤?
􏽥?
􏽦?
􏽧?
􏽨?
􏽩?
􏽪?
􏽫?
􏽬?
􏽭?
􏽮?
􏽻^
􏽼^
􏽽^
􏽿^
􏾀^
􏾁^
􏾄^
􏾅^
􏾆^
􏾈?
􏾈^
􏾉
􏾉?
􏾉^
􏾊
􏾊?
􏾊^
􏾋
􏾋?
􏾋^
􏾌
􏾌?
􏾎?
􏾏?
􏾏^
􏾐?
􏾐^
􏾑
􏾑?
􏾑化
􏾑化
􏾘
􏾘^
􏾛
􏾜
􏾝
􏾺
􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?
􏾺/入
􏾺?
􏿜
􏿝
􏿫
􏿰
􏿰
􏿰
􏿰?
􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?
􏿰^
􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳
􏿰、􏾌、􏾋、􏾊、􏾉
􏿰交!
􏿰佫
􏿰化􏿳
􏿰各
􏿰各、􏿰􏺆、􏿰佫
􏿰巨
􏿰巨
􏿰并
􏿰并!
􏿰弔
􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘
􏿰攸
􏿰攸+
􏿰攸/入
􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入
􏿰日?
􏿰𠛮
􏿰𫼛
􏿰􏺆
􏿰􏺇
􏿰􏺈
􏿰􏺈、􏿰􏺇，􏿰日?
􏿰􏺈仔?
􏿰􏺈仔?
􏿰􏽗
􏿰􏽘
􏿰􏽙
􏿰􏾘
􏿰􏾩
􏿰􏾩+
􏿰􏾩/入
􏿳
􏿳?
􏿴
􏿴
􏿴?
􏿴化􏻿

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\ No newline at end of file diff --git a/ming/hash.html b/ming/hash.html new file mode 100644 index 00000000..726517a5 --- /dev/null +++ b/ming/hash.html @@ -0,0 +1,40 @@ + +5.3 􏿰
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.3 􏿰
On this page:
5.3.1 例程命名规则
5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉
5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳
5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?
5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?
5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘
5.3.7 􏿰攸、􏿰攸+  ，􏿰􏾩、􏿰􏾩+  ，􏿰攸/  入、􏿰􏾩/  入
5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰
5.3.9 􏿰各、􏿰􏺆、􏿰佫
5.3.10 􏿰􏺈仔?
5.3.11 􏿰巨
5.3.12 􏾑化
5.3.13 基础例程
􏿰
􏾋
􏾊
􏾉
􏿰?
􏾌?
􏾋?
􏾊?
􏾉?
􏾎?
􏾏?
􏾈?
􏿰^
􏾋^
􏾊^
􏾉^
􏾐^
􏾆^
􏾅^
􏾄^
􏾏^
􏾁^
􏾀^
􏽿^
􏾈^
􏽽^
􏽼^
􏽻^
􏿰攸
􏿰攸+
􏿰攸/  入
􏿰􏾩
􏿰􏾩+
􏿰􏾩/  入
􏿰弔
􏿰􏽙
􏿰𫼛
􏿰日?
􏿰􏾘
􏿰􏽘
􏿰𠛮
􏿰􏽗
𠛮􏿰
􏿰􏺆
􏿰佫
􏿰􏺈
􏿰􏺇
􏿰化􏿳
􏿰􏺈仔?
􏿰各
􏿰巨
􏻵?
?􏿰引
?􏿰继引
?􏿰引日
?􏿰引月
?􏿰引明
?􏿰引日月
􏾑化
5.3.14 额外例程
􏿰并
􏿰并!
􏿰交!
8.13
  top  contents    up   

5.3 􏿰🔗ℹ

另见名扩展库：􏿰

“􏿰”（hash）是一种内部元素都是“键值对（key/value）”的数据结构。

5.3.1 例程命名规则🔗ℹ

见Naming Rules，有： +

规则

指示

含义

举例

囗/古/舌/亻 + 􏿰

“􏿰”中“键值对”唯一性的确立方式

是通过与之对应的同?/􏾗?/􏾃?/侗?中的任一者所确立的

􏾌、􏾋、􏾊、􏾉

山/氵 + 􏿰

“􏿰”中“键值对”是否可变

是不可或可被增加、删除或修改的

􏾐?、􏾑?

⺮/艹 + 􏿰

“􏿰”中“键值对”之“键”的存储方式

是刚性或柔性的

􏾎?、􏾏?

亻

相似集（类型相同且元素相似）

出参数据与进参数据相比，类型相同且内容类似

􏿰攸

阝

连续集（类型相同且元素连续相同）

出参数据与进参数据相比，类型相同且前者是后者的一部分

􏿰􏺈、􏿰􏺇

刂

缺失集（删除、移走、去掉部分元素之后的集合）

出参数据与进参数据相比，类型相同且前者是后者的子集

􏿰􏾘、􏿰𠛮

扌/!结尾

修改警示

会直接修改原始数据而非另造新数据作输出

􏿰􏾩、􏿰𫼛、􏿰𫼛、􏿰􏽘、􏿰􏽗

^结尾

入参

入参数据是􏿳类数据

􏿰^、􏾋^、􏾊^、􏾉^

+结尾

入参

入参数据以相同方式多次出现

􏿰攸+、􏿰􏾩+

5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉🔗ℹ


+

􏿰为新造字 +

  • 广：工厂、容器、外壳；

  • 双：键值对（因为类似双，另见：􏿳）；

􏾌、􏾋、􏾊、􏾉为新造字 +

  • 囗：同的简写，见同?；

  • 古：􏾗的简写，见􏾗?；

  • 舌：􏾃的简写，见􏾃?；

  • 亻：侗的简写，见侗?。

􏾐、􏾑、􏾎、􏾏、􏾈为新造字 +

  • 山：稳定的、内容不变的（因为“山”是稳定的，见：􏾐?）；

  • 氵：易动的、内容可变的（因为“水”是易变的，见：􏾑?）；

  • ⺮：刚韧的（因为“竹”是刚韧的，见：􏾎?）；

  • 艹：柔弱的（因为“艸”（草）是柔弱的，见：􏾏?）；

  • 艹（中间加丨）：见􏾈?。

􏻵为新造字 +

  • 穴：简写，通空。

另见：􏾑

“􏿰”在以下特性上可以被进一步细分： +

  • 是否可以增加、修改、删除“键值对”，即“􏿰”的内容是否可以被改变： +

    • 􏾐：内容不可改变的“􏿰”，也称“固􏿰”；

    • 􏾑：内容可改变的“􏿰”，也称“易􏿰”（扌偏旁相关的例程或以!结尾的例程只能作用在“易􏿰”上）。

  • 不能有重复的“键值对”，即“键值对”的唯一性要如何被确立（通过各个“键值对”之间“键”的相互比较来确立）： +

    • 􏾌：比较函数是同?；

    • 􏾋：比较函数是􏾗?；

    • 􏾊：比较函数是􏾃?；

    • 􏾉：比较函数是侗?。

  • 对于“键值对”，其“键”的存储可以是： +

    • 􏾎：刚性的；

    • 􏾏：柔性的；

    • 􏾈：类􏾧的。

通过􏿰创建的是􏾌?、􏾎?和􏾐?都是真的“􏿰”。 +

Examples:
> (􏿰 1 2 3 4)

'#hash((1 . 2) (3 . 4))

> (􏽮? (􏿰 1 2 3 4))

#t

5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳🔗ℹ


+“􏿳”和“􏿰”可以互相进行转换，􏿳化在此用^标记来简写。
+通过􏿰^创建的是􏾌?、􏾎?和􏾑?都为真的“􏿰”。 +

另见：􏾑、􏿳

Examples:
> (􏿰^ '((1 . 2) (3 . 4)))

'#hash((1 . 2) (3 . 4))

> (􏽦? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾏^ '((1 . 2) (3 . 4)))

'#hash((1 . 2) (3 . 4))

> (􏽦? (􏾏^ '((1 . 2) (3 . 4))))

#f

> (􏾁^ '((1 . 2) (3 . 4)))

'#hashalw((1 . 2) (3 . 4))

> (􏽡? (􏾁^ '((1 . 2) (3 . 4))))

#t

> (􏿰化􏿳 (􏿰 1 2 3 4))

'((1 . 2) (3 . 4))

> (􏿰化􏿳 (􏾋 1 2 3 4))

'((1 . 2) (3 . 4))

> (􏿰化􏿳 (􏾑 1 2 3 4))

'((1 . 2) (3 . 4))

5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?🔗ℹ


+

另见：
+􏾐?、􏾑?，
+􏽞?、􏽝?、􏽜?、􏽛?，
+􏽮?、􏽭?、􏽬?、􏽫?，
+􏽦?、􏽥?、􏽤?、􏽣?，
+􏽪?、􏽩?、􏽨?、􏽧?，
+􏽢?、􏽡?、􏽠?、􏽟?。

Examples:
> (􏿰? (􏿰 1 2 3 4))

#t

> (􏾌? (􏿰 1 2 3 4))

#t

> (􏾎? (􏿰 1 2 3 4))

#t

> (􏾐? (􏿰 1 2 3 4))

#t

> (􏽮? (􏿰 1 2 3 4))

#t

> (􏿰^ '((1 . 2) (3 . 4)))

'#hash((1 . 2) (3 . 4))

> (􏾌? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾎? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾑? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽦? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽦? (􏾏^ '((1 . 2) (3 . 4))))

#f

> (􏽡? (􏾁^ '((1 . 2) (3 . 4))))

#t

> (􏻵? (􏿰 'a "aa" 'b "bb"))

#f

> (􏻵? (􏿰))

#t

5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?🔗ℹ


+

􏺈为古活字
+􏺇为新造字
+

  • 日：“键值对”的“键”（双的阳）；

  • 月：“键值对”的“值”（双的阴）。

对于􏿰中的“键值对”，因其类于双，故在此也称为“明”（阳+阴）。进而，“键值对”的“键”称为“日”，“值”称为“月”。 +

Examples:
> (􏿰􏺈 (􏿰 'a "apple" 'b "banana"))

'(b a)

> (􏿰􏺇 (􏿰 'a "apple" 'b "banana"))

'("banana" "apple")

> (􏿰日? (􏿰 'a "apple" 'b "banana") 'a)

#t

5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘🔗ℹ


+

𫼛为古活字
+􏽙为新造字
+􏾘为新造字
+􏽘为新造字
+

Examples:
> (􏿰弔 (􏿰 'a "apple" 'b "banana") 'b)

"banana"

> (􏿰弔 (􏿰 'a "apple" 'b "banana") 'b "cat")

"banana"

> (􏿰弔 (􏿰 'a "apple" 'b "banana") 'c "cat")

"cat"

> (􏿰􏽙 (􏿰 'a "apple" 'b "banana") 'b)

'b

> (􏿰􏽙 (􏿰 'a "apple" 'b "banana") 'b "cat")

'b

> (􏿰􏽙 (􏿰 'a "apple" 'b "banana") 'c "cat")

"cat"

> (􏿰􏾘 (􏿰 'a "apple" 'b "banana") 'a)

'#hash((b . "banana"))

> (名 h (􏾑 'a "apple" 'b "banana"))
> (􏿰𫼛 h 'b "cat")

"banana"

> h

'#hash((a . "apple") (b . "banana"))

> (􏿰𫼛 h 'c "cat")

"cat"

> h

'#hash((a . "apple") (b . "banana") (c . "cat"))

> (􏿰􏽘 h 'a)
> h

'#hash((b . "banana") (c . "cat"))

5.3.7 􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入🔗ℹ


+

参见：攸

Examples:
> (􏿰攸 (􏿰 'a "apple" 'b "banana") 'b "ba")

'#hash((a . "apple") (b . "ba"))

> (􏿰攸+ (􏿰 'a "apple" 'b "banana") 'a "ap" 'b "ba")

'#hash((a . "ap") (b . "ba"))

> (􏿰攸/入 (􏿰 'a "apple" 'b "banana" 'c 1) 'c 􏽊)

'#hash((a . "apple") (b . "banana") (c . 2))

> (名 h (􏾑 'a "apple" 'b "banana"))
> (􏿰􏾩+ h 'a "ap" 'b "ba")
> h

'#hash((a . "ap") (b . "ba"))

5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰🔗ℹ


+

𠛮为古活字 +

  • 刂：删除；

Examples:
> (􏿰𠛮 (􏿰 'a "apple" 'b "banana"))

'#hash()

> (名 h (􏾑 'a "apple" 'b "banana"))
> (􏿰􏽗 h)
> h

'#hash()

> (𠛮􏿰 (􏿰 'a "apple" 'b "banana"))

'#hash()

5.3.9 􏿰各、􏿰􏺆、􏿰佫🔗ℹ


+

􏺆为新造字 +

  • 又：􏿴的缩写；

参见：佫

Examples:
> (􏿰各 (􏿰 'a "apple" 'b "banana") (入 (K V) (示 K) (示 V)))

'b"banana"'a"apple"

> (􏿰􏺆 (􏿰 'a "apple" 'b "banana") (入 (K V) (􏿴 V K)))

'(("banana" b) ("apple" a))

> (􏿰佫 (􏿰 'a "apple" 'b "banana") (入 (K V) (􏸼 V K)))

􏸼: undefined;

 cannot reference an identifier before its definition

  in module: top-level

5.3.10 􏿰􏺈仔?🔗ℹ


+

参见：􏿰􏺈、仔?

Examples:
> (􏿰􏺈仔? (􏿰 'a "aa" 'b "bb") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#t

> (􏿰􏺈仔? (􏿰 'a "aa" 'c "cc") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#t

> (􏿰􏺈仔? (􏿰 'a "aa" 'd "dd") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#f

> (􏿰􏺈仔? (􏿰 'b "bb") (􏿰 'a "aaa" 'b "bbb" 'c "ccc"))

#t

5.3.11 􏿰巨🔗ℹ


+

参见：巨、空?

Example:
> (􏿰巨 (􏿰 'a "aa" 'b "bb"))

2

5.3.12 􏾑化🔗ℹ


+

Examples:
> (􏾐? (􏿰 'a "aa" 'b "bb"))

#t

> (􏾐? (􏾑化 (􏿰 'a "aa" 'b "bb")))

#f

5.3.13 基础例程🔗ℹ

 (require ming/racket/base) package: ming

composition

􏿰 : elem + 创建 + needtofix = hash

composition

􏾋 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hashalw

composition

􏾊 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hasheqv

composition

􏾉 : elem + 类上，不过键的唯一性是通过 + needtofix + 确立的 = hasheq

composition

􏿰?

 : elem + 是否是 + needtofix + 、 + needtofix + 、 + needtofix + 、 + needtofix + 的任一种
 = hash?

composition

􏾌? : elem + 是否是 + needtofix = hash-equal?

composition

􏾋? : elem + 是否是 + needtofix = hash-equal-always?

composition

􏾊? : elem + 是否是 + needtofix = hash-eqv?

composition

􏾉? : elem + 是否是 + needtofix = hash-eq?

composition

􏾎? : elem + 类上，键是否是被刚性存储的 = hash-strong?

composition

􏾏? : elem + 类上，键是否是被柔性存储的 = hash-weak?

composition

􏾈? : elem + 类上，键的存储是否是采用 + needtofix = hash-ephemeron?

composition

􏿰^ : elem + needtofix + 转换成 + needtofix = make-hash

composition

􏾋^ : elem + needtofix + 转换成 + needtofix = make-hashalw

composition

􏾊^ : elem + needtofix + 转换成 + needtofix = make-hasheqv

composition

􏾉^ : elem + needtofix + 转换成 + needtofix = make-hasheq

composition

􏾐^ : elem + 如上类推 = make-immutable-hash

composition

􏾆^ : elem + 如上类推 = make-immutable-hashalw

composition

􏾅^ : elem + 如上类推 = make-immutable-hasheqv

composition

􏾄^ : elem + 如上类推 = make-immutable-hasheq

composition

􏾏^ : elem + 如上类推 = make-weak-hash

composition

􏾁^ : elem + 如上类推 = make-weak-hashalw

composition

􏾀^ : elem + 如上类推 = make-weak-hasheqv

composition

􏽿^ : elem + 如上类推 = make-weak-hasheq

composition

􏾈^ : elem + 如上类推 = make-ephemeron-hash

composition

􏽽^ : elem + 如上类推 = make-ephemeron-hashalw

composition

􏽼^ : elem + 如上类推 = make-ephemeron-hasheqv

composition

􏽻^ : elem + 如上类推 = make-ephemeron-hasheq

composition

􏿰攸 : elem + 以新造数据的方式来修改某“键”对应的“值” = hash-set

composition

􏿰攸+ : elem + 以新造数据的方式来修改某些“键”所对应的“值” = hash-set*

composition

􏿰攸/入 :  = hash-update

composition

􏿰􏾩 : elem + 直接修改某“键”对应的“值” = hash-set!

composition

􏿰􏾩+ : elem + 直接修改某些“键”所对应的“值” = hash-set*!

composition

􏿰􏾩/入 :  = hash-update!

composition

􏿰弔 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阴”位数据（未找到数据则返回默认设置值）；

 = hash-ref

composition

􏿰􏽙 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阳”位数据； = hash-ref-key

composition

􏿰𫼛

 : elem + 以“键值对”中“阳”位数据为基准，来索引查询“键值对”并返回“阴”位数据（未找到数据则直接修改原数据增加新“键值对”）；
 = hash-ref!

composition

􏿰日? : elem + 是否存在某“键” = hash-has-key?

composition

􏿰􏾘 : elem + 以新造数据的方式来删除某“键”和其对应的“值” = hash-remove

composition

􏿰􏽘 : elem + 直接删除某“键”和其对应的“值” = hash-remove!

composition

􏿰𠛮 : elem + 以新造数据的方式来删除全部“键”和其对应的“值” = hash-clear

composition

􏿰􏽗 : elem + 直接删除全部“键”和其对应的“值” = hash-clear!

composition

𠛮􏿰 : elem + 以删除全部“键”和其对应的“值”的方式新造空数据 = hash-copy-clear

composition

􏿰􏺆 : elem + 把某一个例程依次作用在各个明（键值对）上，出参是 + needtofix = hash-map

composition

􏿰佫 : elem + 把某一个例程依次作用在各个明（键值对）上 = hash-map/copy

composition

􏿰􏺈 : elem + 返回􏿰中所有键值对的“键”组成的 + needtofix = hash-keys

composition

􏿰􏺇 : elem + 返回􏿰中所有键值对的“值”组成的 + needtofix = hash-values

composition

􏿰化􏿳 : 􏿰 + 化 + 􏿳 = hash->list

composition

􏿰􏺈仔? : elem + 前者是否是后者的 + needtofix + 的子集 = hash-keys-subset?

composition

􏿰各 : 􏿰 + 各 = hash-for-each

composition

􏿰巨 : 􏿰 + 巨 = hash-count

composition

􏻵? : 􏻵 + ? = hash-empty?

composition

?􏿰引 : ? + 􏿰 + 引 = hash-iterate-first

composition

?􏿰继引 : ? + 􏿰 + 继 + 引 = hash-iterate-next

composition

?􏿰引日 : ? + 􏿰 + 引 + 日 = hash-iterate-key

composition

?􏿰引月 : ? + 􏿰 + 引 + 月 = hash-iterate-value

composition

?􏿰引明 : ? + 􏿰 + 引 + 明 = hash-iterate-pair

composition

?􏿰引日月 : ? + 􏿰 + 引 + 日 + 月 = hash-iterate-key+value

composition

􏾑化 : elem + 将 + needtofix + 转化为 + needtofix = hash-copy

5.3.14 额外例程🔗ℹ

 (require ming/racket/hash) package: ming

composition

􏿰并 : 􏿰 + 并 = hash-union

composition

􏿰并! : 􏿰 + 并 + ! = hash-union!

composition

􏿰交! : 􏿰 + 交 + ! = hash-intersect

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Ming Language🔗ℹ

Yanying Wang <yanyingwang1@gmail.com>

 #lang ming package: ming
LISP spirit embodied in chineseoid characters.   (中文版)

    1 Rationale

      1.1 Lisp and its parenthsis

      1.2 Chineseoid characters

      1.3 Character implications

    2 Startup

      2.1 Fonts and Input method

      2.2 Code highlight for Emacs editor

      2.3 GGFSM

    3 Naming Rules

      3.1 Characters

      3.2 Punctuations

      3.3 Phrases

      3.4 Hybrids

    4 Ming Libraries

      4.1 kernel of ming lang

        4.1.1 ming/kenel

      4.2 􏿴

      4.3 􏻿

      4.4 􏿰

      4.5 句

      4.6 米

    5 Racket Libraries

      5.1 双 and 􏿴

        5.1.1 Naming Rules

        5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳

        5.1.3 阴阳+-

        5.1.4 􏿝, 􏿜

        5.1.5 攸

        5.1.6 􏼏, 􏼏*

        5.1.7 􏼓, 􏼎

        5.1.8 弔, 弓,弓*, 􏹂, 􏹂*

        5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓

        5.1.10 末, 􏹨

        5.1.11 巨

        5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?

        5.1.13 左􏸑, 左􏸒, 左􏸓

        5.1.14 𰂋，偏，􏾜，重、𠝤

        5.1.15 􏾛、𠆯

        5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇

        5.1.17 􏹈分，􏹈巨

        5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎

        5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘

        5.1.20 􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组

        5.1.21 ming/racket/base

        5.1.22 ming/racket/list

      5.2 􏻿

        5.2.1 Naming Rules

        5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?

        5.2.3 􏻺 􏻻 􏻹

        5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒

        5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並

        5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝

        5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇

        5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝

        5.2.9 基础例程

        5.2.10 额外例程

      5.3 􏿰

        5.3.1 例程命名规则

        5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉

        5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳

        5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?

        5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?

        5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘

        5.3.7 􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入

        5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰

        5.3.9 􏿰各、􏿰􏺆、􏿰佫

        5.3.10 􏿰􏺈仔?

        5.3.11 􏿰巨

        5.3.12 􏾑化

        5.3.13 基础例程

        5.3.14 额外例程

      5.4 字

        5.4.1 字，字?

        5.4.2 例程

      5.5 勺

        5.5.1 例程命名规则

        5.5.2 勺?、􏺏?、􏺋?，􏺌

        5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋

        5.5.4 基础例程

        5.5.5 额外例程

      5.6 勾

        5.6.1 例程命名规则

        5.6.2 勾?，勾化句、句化勾、勾化􏽁

        5.6.3 基础例程

        5.6.4 额外例程

      5.7 句

        5.7.1 例程命名规则

        5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?

        5.7.3 􏽁化，􏽀化

        5.7.4 􏼅，􏼄

        5.7.5 􏼃，􏼁，􏼂

        5.7.6 􏺕，􏼭，句􏾝

        5.7.7 􏼘，􏼘/以􏾝，􏼅𰅡

        5.7.8 􏼩、􏼪，􏼳、􏼲

        5.7.9 􏼥，􏼝，􏼛

        5.7.10 􏼹?，􏼸?，􏸶?

        5.7.11 􏺔，􏺓，􏺒

        5.7.12 基础例程

        5.7.13 额外例程

      5.8 米

        5.8.1 命名规则

        5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?

        5.8.3 常用概念：􏻴?，𥥪?

        5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?

        5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?

        5.8.6 组合表达：􏻲?，􏺡?

        5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘

        5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐

        5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句

        5.8.10 数的类型例程

        5.8.11 数的运算例程

      5.9 􏺃

        5.9.1 􏺃，卩?，􏺃?

        5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵

        5.9.3 转化：􏹲，􏹩，􏹴、􏹳

        5.9.4 基础例程

      5.10 Conditionals

        5.10.1 丫，􏸣、􏸟

        5.10.2 并、戈

        5.10.3 当、肖，夬

        5.10.4 非

        5.10.5 References

      5.11 並

        5.11.1 𰅰，並，𡌶

        5.11.2 References

      5.12 禾

        5.12.1 禾、禾?

        5.12.2 入、􏸗

        5.12.3 􏸛，􏸚

        5.12.4 􏸘

        5.12.5 Base References

        5.12.6 Additional References

      5.13 未分类

        5.13.1 同? 􏷇? 􏷆? 􏷈?

        5.13.2 遍?

    6 Appendix

      6.1 terminology

    Index

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►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.6 勾
On this page:
5.6.1 例程命名规则
5.6.2 勾?，勾化句、句化勾、勾化􏽁
5.6.3 基础例程
勾?
勾化句
句化勾
勾<?
5.6.4 额外例程
勾化􏽁
8.13
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5.6 勾🔗ℹ

“勾”（keywords）是与勺类似的数据结构，特别地被用于例程的参数中使用。

5.6.1 例程命名规则🔗ℹ

见Naming Rules中关于化的条目。

5.6.2 勾?，勾化句、句化勾、勾化􏽁🔗ℹ


+

勾为活用字 +

  • 勹：工厂、容器、外壳；

  • 厶：参数（通参）；

  • 勾：在古代通句，在此借用为表示勾是和句相近的一种数据结构；

Examples:
> (勾? '#:keyword)

#t

> (勾化句 '#:keyword)

"keyword"

> (勾化􏽁 '#:keyword)

"keyword"

> (句化勾 "string")

'#:string

5.6.3 基础例程🔗ℹ

 (require ming/racket/base) package: ming

composition

勾? :  = keyword?

composition

勾化句 :  = keyword->string

composition

句化勾 :  = string->keyword

composition

勾<? :  = keyword<?

5.6.4 额外例程🔗ℹ

 (require ming/racket/keywords) package: ming

composition

勾化􏽁 :  = keyword->immutable-string

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\ No newline at end of file diff --git a/ming/ming-fonts.css b/ming/ming-fonts.css new file mode 100644 index 00000000..b28aa3f8 --- /dev/null +++ b/ming/ming-fonts.css @@ -0,0 +1,34 @@ +/* .wq-ext-font { */ +/* font-family: 'WenQuanYiMicroHeiExtend'; */ +/* } */ + +/* body { */ +/* font-family: WenQuanYiMicroHeiExtend !important; */ +/* } */ + +.maincolumn, .refpara, .refelem, .tocset, .stt, .hspace, .refparaleft, .refelemleft { + font-family: 'Fira-Mono', monospace, cangjie !important; +} + +.RktIn, .RktRdr, .RktPn, .RktMeta, +.RktMod, .RktKw, .RktVar, .RktSym, +.RktRes, .RktOut, .RktCmt, .RktVal, +.RktBlk, .RktErr { + font-family: 'Fira-Mono', monospace, cangjie !important; +} + +.main, .refcontent, .tocview, .tocsub, .sroman, i { + font-family: 'Charter-Racket', serif, cangjie !important; +} + +h1, h2, h3, h4, h5, h6, h7, h8 { + font-family: 'Fira', sans-serif, cangjie !important; +} + +.tocset td { + font-family: 'Fira', sans-serif, cangjie !important; +} + +.tocsubtitle { + font-family: 'Fira', sans-serif, cangjie !important; +} diff --git a/ming/ming-hash.html b/ming/ming-hash.html new file mode 100644 index 00000000..225a9dfb --- /dev/null +++ b/ming/ming-hash.html @@ -0,0 +1,16 @@ + +4.4 􏿰
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
􏾌
􏾑
􏾑?
􏾐?
􏽞?
􏽝?
􏽜?
􏽛?
􏽮?
􏽭?
􏽬?
􏽫?
􏽦?
􏽥?
􏽤?
􏽣?
􏽪?
􏽩?
􏽨?
􏽧?
􏽢?
􏽡?
􏽠?
􏽟?
8.13
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4.4 􏿰🔗ℹ

 (require ming/hash) package: ming
Racket标准库􏿰的名语言扩展。 +

本页所列之例程的实现代码是名语言，因此源代码有参照意义。

procedure

(􏾌 V ...) → 􏾌?

  V : any?

procedure

(􏾑 V ...) → 􏾑?

  V : any?
􏾌：生成“键值对”的唯一性是通过同?来确立的􏿰。
+􏾑：生成“键值对”可被增、删、改的􏿰（另见：易?）。 +

另见：􏿰、􏾋、􏾊、􏾉。

Examples:
> (􏾌 1 2 3 4)

'#hash((1 . 2) (3 . 4))

> (􏾑 1 2 3 4)

'#hash((1 . 2) (3 . 4))

> (􏽦? (􏾌 1 2 3 4))

#f

> (􏽦? (􏾑 1 2 3 4))

#t

procedure

(􏾑? V) → boolean?

  V : any?

procedure

(􏾐? V) → boolean?

  V : any?

Examples:
> (􏾐? (􏿰 1 2 3 4))

#t

> (􏾑? (􏾑 1 2 3 4))

#t

> (􏾑? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏾐? (􏾐^ '((1 . 2) (3 . 4))))

#t

procedure

(􏽞? V) → boolean?

  V : any?

procedure

(􏽝? V) → boolean?

  V : any?

procedure

(􏽜? V) → boolean?

  V : any?

procedure

(􏽛? V) → boolean?

  V : any?
􏾐?、􏾑?和􏾎?、􏾏? +之间的互相组合类推例程。
+例如：􏽞?等价于(且 (􏾎? V) (􏾐? V))。 +

􏽞、􏽝、􏽜、􏽛是新造字 +

  • 十：艹的简写；

  • 丿一丶：⺮的简写；

  • 丷：氵的简写。

Examples:
> (􏽞? (􏿰 1 2 3 4))

#t

> (􏽝? (􏾑 1 2 3 4))

#t

> (􏽝? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽞? (􏾐^ '((1 . 2) (3 . 4))))

#t

> (􏽞? (􏾋 1 2 3 4))

#t

procedure

(􏽮? V) → boolean?

  V : any?

procedure

(􏽭? V) → boolean?

  V : any?

procedure

(􏽬? V) → boolean?

  V : any?

procedure

(􏽫? V) → boolean?

  V : any?

procedure

(􏽦? V) → boolean?

  V : any?

procedure

(􏽥? V) → boolean?

  V : any?

procedure

(􏽤? V) → boolean?

  V : any?

procedure

(􏽣? V) → boolean?

  V : any?

procedure

(􏽪? V) → boolean?

  V : any?

procedure

(􏽩? V) → boolean?

  V : any?

procedure

(􏽨? V) → boolean?

  V : any?

procedure

(􏽧? V) → boolean?

  V : any?

procedure

(􏽢? V) → boolean?

  V : any?

procedure

(􏽡? V) → boolean?

  V : any?

procedure

(􏽠? V) → boolean?

  V : any?

procedure

(􏽟? V) → boolean?

  V : any?
􏾌?、􏾋?、􏾊?、􏾉?和 +􏽞?、􏽝?，􏽜?、􏽛?之间 +的各种互相组合类推例程。
+例如：􏽮?等价于(且 (􏾌? V) (􏽞? V))。 +

􏽮、􏽭、􏽬、􏽫是新造字
+􏽦、􏽥、􏽤、􏽣是新造字
+􏽪、􏽩、􏽨、􏽧是新造字
+􏽢、􏽡、􏽠、􏽟是新造字

Examples:
> (􏽮? (􏿰 1 2 3 4))

#t

> (􏽦? (􏾑 1 2 3 4))

#t

> (􏽦? (􏿰^ '((1 . 2) (3 . 4))))

#t

> (􏽢? (􏾏^ '((1 . 2) (3 . 4))))

#t

> (􏽡? (􏾁^ '((1 . 2) (3 . 4))))

#t

> (􏽞? (􏾋 1 2 3 4))

#t

> (􏽭? (􏾋 1 2 3 4))

#t

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\ No newline at end of file diff --git a/ming/ming-kernel.html b/ming/ming-kernel.html new file mode 100644 index 00000000..b5f0490f --- /dev/null +++ b/ming/ming-kernel.html @@ -0,0 +1,4 @@ + +4.1 kernel of ming lang
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
►4.1 kernel of ming lang
On this page:
4.1.1 ming/  kenel
􏸧
􏸬
􏸫
􏸪
􏸞
8.13
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4.1 kernel of ming lang🔗ℹ

4.1.1 ming/kenel🔗ℹ

 (require ming/kernel) package: ming
The kernel methods and syntaxes of ming lang.

syntax

(􏸧 exprs ...)

syntax

(􏸬 arg1 exprs ...)

syntax

(􏸫 arg1 arg2 exprs ...)

syntax

(􏸪 arg1 arg2 arg3 exprs ...)

🐘 入

Same as: +

  • (λ () exprs ...)

  • (λ (arg1) exprs ...)

  • (λ (arg1 arg2) exprs ...)

  • (λ (arg1 arg2 arg3) exprs ...)

Examples:
> ((􏸧 (􏿴 1 2 3)))

'(1 2 3)

> ((􏸬 x (􏿴 1 2 x)) 3)

'(1 2 3)

> ((􏸫 x y (􏿴 1 2 x y)) 3 4)

'(1 2 3 4)

> ((􏸪 x y z (􏿴 1 2 x y z)) 3 4 5)

'(1 2 3 4 5)

> ((􏸪  x #:arg y (􏿴 1 2 x y)) 3 #:arg 4)

'(1 2 3 4)

> ((􏸧 10))

10

> ((􏸬 x x) 10)

10

syntax

(􏸞 a b c)

🐘 丫，􏸣、􏸟

Is short for (丫 (非 a) b c), which can always be wrote as (丫 a c b), thus it should take precedence over the previous form in using unless it’s really necessary. +

Example:
> (􏸞 (= 1 1) 'unequal 'equal)

'equal

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\ No newline at end of file diff --git a/ming/ming-list.html b/ming/ming-list.html new file mode 100644 index 00000000..f5c6bd08 --- /dev/null +++ b/ming/ming-list.html @@ -0,0 +1,22 @@ + +4.2 􏿴
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
伄
伄^
􏾝
􏾘
􏾘^
􏺊
􏹃
偅
􏹊
􏷍?
􏿳
􏿳?
􏺈
􏺇
8.13
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4.2 􏿴🔗ℹ

 (require ming/list) package: ming
Extention of 双 and 􏿴. +

All the procedures in this page are implemented in Ming, therefore, the source code can be seen as a demonstation of it.

procedure

(伄 LST N ...) → 􏿴?

  LST : 􏿴?
  N : 􏺡?

procedure

(伄^ LST N-LST) → 􏿴?

  LST : 􏿴?
  N-LST : (listof 􏺡?)
伄: 亻 + 弔. 
zi
+
伄^: 亻 + 弔 + ^. 
zi
+

Examples:
> (伄 '(a b c d e f g) 0 2 3)

'(a c d)

> (伄^ '(a b c d e f g) '(0 2 3))

'(a c d)

procedure

(􏾝 LST N1 [N2]) → 􏿴?

  LST : 􏿴?
  N1 : 􏺡?
  N2 : 􏺡? = +inf.0
􏾝: 弔 + 阝. 
zi
+

Examples:
> (􏾝 '(a b c d e f) 0)

'(a b c d e f)

> (􏾝 '(a b c d e f) 0 0)

'()

> (􏾝 '(a b c d e f) 0 1)

'(a)

> (􏾝 '(a b c d e f) 1 2)

'(b)

> (􏾝 '(a b c d e f) 0 2)

'(a b)

> (􏾝 '(a b c d e f) 0 5)

'(a b c d e)

> (􏾝 '(a b c d e f) 2 5)

'(c d e)

procedure

(􏾘 LST N) → 􏿴?

  LST : 􏿴?
  N : 􏺡?

procedure

(􏾘^ LST N-LST) → 􏿴?

  LST : 􏿴?
  N-LST : (listof? 􏺡?)
􏾘: 弔 + 刂. 
zi
+
􏾘^: 弔 + 刂 + ^. 
zi
+

🐘 􏾺 𨚞

Examples:
> (􏾘 '(a b c d e f g) 1)

'(a c d e f g)

> (􏾘^ '(a b c d e f g) '(0 1 3))

'(c e f g)

procedure

(􏺊 LST N M) → 􏿴?

  LST : 􏿴?
  N : 􏺡?
  M : 􏺡?
􏺊: 􏷵 + 􏷴. 
zi
+Shorts for (􏷴 (􏷵 LST N) M). +

Example:
> (􏺊 '(a b c d e f g) 1 3)

'(b c d)

procedure

(􏹃 LST PROC) → 􏺡?

  LST : 􏿴?
  PROC : 程?
􏹃: 巨 + 入. 
zi
+

🐘 􏹈巨

Example:
> (􏹃 '(a b 12 c 33 d  58 f g) 米?)

3

procedure

(偅 LST) → 􏿴?

  LST : 􏿴?
偅: 亻 + 重. 
zi
+

Examples:
> (偅 '())

'()

> (偅 '(11))

'()

> (偅 '(11 22 33 22 44))

'(22)

> (偅 '(11 11 11 22 55 22 33 88 88 88 99 99))

'(11 22 88 99)

procedure

(􏹊 V LST [PROC]) → 􏿴?

  V : any/c
  LST : 􏿴?
  PROC : 程? = 同?
􏹊: 彐 + 刂. 
zi
+

🐘 􏹊~ 􏹊^

Example:
> (􏹊 'c '(a b c d e c f))

'(a b d e f)

procedure

(􏷍? LST1 LST2) → boolean?

  LST1 : 􏿴?
  LST2 : 􏿴?
LST1是否是LST2的子集。 +
􏷍: 亻 + 􏿴. 
zi
+
􏷍?: 􏷍 + ?. 
zi
+

Examples:
> (􏷍? '(a b) '(a b c d e f g))

#t

> (􏷍? '(a e) '(a b c d e f g))

#t

> (􏷍? '(a z) '(a b c d e f g))

#f

procedure

(􏿳 V ...) → 􏿳?

  V : any?
􏿳: 双 + 􏿴. means association list.
zi
+

🐘 􏿰

Examples:
> (􏿳 1 2 3 4 1 5)

'((1 . 2) (3 . 4) (1 . 5))

> (􏿳)

'()

> (􏿳 1)

'()

> (􏿳 1 2 3)

'((1 . 2))

procedure

(􏿳? V) → boolean?

  V : any?
􏿳?: 􏿳 + ?. 
zi
+V is 􏿳 or not. Shorts for (并 (􏿴? V) (􏷐 双? V)). +

Examples:
> (􏿳? '(1 2 3 4))

#f

> (􏿳? (􏿳 1 2 3 4))

#t

> (􏿳? '((1 . 2) (3 . 4)))

#t

> (􏿳? '((1 2) (3 4)))

#t

> (􏿳? '((1 (2)) (3 (4))))

#t

procedure

(􏺈 ALST) → 􏿴?

  ALST : 􏿳?

procedure

(􏺇 ALST) → 􏿴?

  ALST : 􏿳?
􏺈: 日 + 阝. 
zi
+
􏺇: 􏺇 + 阝. 
zi
+Same as： +

🐘 阴 阳 􏹉 􏿰􏺈 􏿰􏺇

Examples:
> (􏺈 '((1 . 2) (3 . 4)))

'(1 3)

> (􏺇 '((1 . 2) (3 . 4)))

'(2 4)

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\ No newline at end of file diff --git a/ming/ming-number.html b/ming/ming-number.html new file mode 100644 index 00000000..1130fab1 --- /dev/null +++ b/ming/ming-number.html @@ -0,0 +1,5 @@ + +4.6 米
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
〇?
􏹔
8.13
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4.6 米🔗ℹ

 (require ming/number) package: ming
Racket标准库米的名语言扩展。 +

本页所列之例程的实现代码是名语言，因此源代码有参照意义。

procedure

(〇? N) → boolean?

  N : 米?
是否是0。 +

同：𥥪?

Examples:
> (〇? 0)

#t

> (〇? 1)

#f

> (〇? 1.1)

#f

> (〇? "abcdefg")

zero?: contract violation

  expected: number?

  given: "abcdefg"

procedure

(􏹔 N) → 釆?

  N : 米?
返回小数后保留N位（默认2）的近视值，采用“四舍六入五成双（奇进偶退）法”。 +

另见：宩化􏹔句

Examples:
> (􏹔 0.014)

0.01

> (􏹔 0.015)

0.01

> (􏹔 0.016)

0.02

> (􏹔 0.044)

0.04

> (􏹔 0.045)

0.04

> (􏹔 0.046)

0.05

> (􏹔 0.0465 3)

0.046

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\ No newline at end of file diff --git a/ming/ming-string.html b/ming/ming-string.html new file mode 100644 index 00000000..60657bda --- /dev/null +++ b/ming/ming-string.html @@ -0,0 +1,9 @@ + +4.5 句
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
􏽀
􏽁
􏽀?
􏽁?
􏻷?
􏸵
8.13
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4.5 句🔗ℹ

 (require ming/string) package: ming
Racket标准库句的名语言扩展。 +

本页所列之例程的实现代码是名语言，因此源代码有参照意义。

procedure

(􏽀 V ...) → 􏽀?

  V : any?

procedure

(􏽁 V ...) → 􏽁?

  V : any?

参见：􏾐、􏾑

􏽀：生成内容可以被修改的“字符串”。
+􏽀：生成内容不可被修改的“字符串”。 +

Examples:
> (􏽀 #\a #\b #\c #\d)

"abcd"

> (􏽁 #\a #\b #\c #\d)

"abcd"

procedure

(􏽀? V) → boolean?

  V : any?

procedure

(􏽁? V) → boolean?

  V : any?
􏽀?：是否是􏽀；
+􏽁?：是否是􏽁。 +

Examples:
> (􏽀? (􏽀 #\a #\b #\c #\d))

#t

> (􏽁? (􏽁 #\a #\b #\c #\d))

#t

procedure

(􏻷? V) → boolean?

  V : any?

另见：􏼟?

Examples:
> (􏻷? "abcdefg")

#f

> (􏻷? "")

#t

procedure

(􏸵 STR) → 句?

  STR : 句?

􏸵为新造字 +

  • 穴：空格；

  • 刀：移除、删除（刂的非偏旁写法）；

等同于：(􏼥 STR " " "")

将STR的空格全部移除。 +

Example:
> (􏸵 " a b  cd    e   ")

"abcde"

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\ No newline at end of file diff --git a/ming/ming-vector.html b/ming/ming-vector.html new file mode 100644 index 00000000..53a8425f --- /dev/null +++ b/ming/ming-vector.html @@ -0,0 +1,6 @@ + +4.3 􏻿
►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
On this page:
􏻽
􏻽?
􏻼?
8.13
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4.3 􏻿🔗ℹ

 (require ming/vector) package: ming
Exention of 􏻿.

procedure

(􏻽 V ...) → 􏻽?

  V : 􏺡?
􏻽: 𭕄 + 􏻿. 
zi
+

🐘 􏻿 􏻼

Example:
> (􏻽 1 2 3 4)

'#(1 2 3 4)

procedure

(􏻽? VEC) → boolean?

  VEC : any?

procedure

(􏻼? VEC) → boolean?

  VEC : any?
􏻽?: 􏻽 + ?. 
zi
+
􏻼?: 􏻼 + ?. 
zi
+Short for (并 (水? VEC) (􏻿? VEC)) and (并 (山? VEC) (􏻿? VEC)). +

Examples:
> (􏻽? '#(1 2 3 4))

#f

> (􏻼? '#(1 2 3 4))

#t

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►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
8.13
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4 Ming Libraries🔗ℹ

    4.1 kernel of ming lang

      4.1.1 ming/kenel

    4.2 􏿴

    4.3 􏻿

    4.4 􏿰

    4.5 句

    4.6 米

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▼Ming Language
►3 Naming Rules
On this page:
3.1 Characters
3.2 Punctuations
3.3 Phrases
3.4 Hybrids
8.13
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3 Naming Rules🔗ℹ

3.1 Characters🔗ℹ

You may need to read Character implications first.

Part

Connotation

Elucidation

Example

亻

general subset

The type of output data is same as input, content is part of input.

伄 攸 𰂋 偏 􏾜 􏾛 偅 𠆯 􏹈

阝

serial subset

The type of output data is same as input, content is a serial part of input.

阴 阳 􏾝 􏾺 𨚞 䢼 􏹋 邭

刂

broken subset

The type of output data is same as input, content is almost same, except some elements are removed.

􏷵 􏷴 􏺊 𠝤 􏹇 􏹊

彐

find

Simplifies from 寻, which means find.

􏹋 􏹉 􏹊 􏹅 􏹌 􏹈 􏹇 􏺗 􏺘

戈

substitute

Means substitute.

􏼥

土 

produce

Means create, build, produce.

垎

扌

Same as usage of !

Means directly modify the original data instead of creating new one, thus the output is void.

􏻿􏾩 􏼘 􏻿􏽒 􏻺𰅡

攵

modify

Means modify value corresponding to specified index, thus inputs are index number and expected value.

攸 􏼘

三

duplicated elements

Means three, especially means duplicated elments.

􏼓 􏻺 􏼅

弓

index

Means index(ref to 弓), especially means a range of numbers.

􏼎 􏻻 􏼄

弔

value of index

Means Returns corresponding vaule of index, thus the type of input data is 􏺡?.

弔 伄 􏾘 􏾝 􏼭 􏻿弔 􏿰弔 􏿰􏾘

毌

append

Simplifies from 贯, which means append.

􏿝 􏻹 􏼃 􏼂 􏼁

穴

empty

Simplifies from 空, means empty.

空? 𥥪? 􏻸? 􏻵? 􏻷? 􏼟?

非

not

Means not.

􏼟?

巨

length

Means return the length.

巨 􏺕 􏻿巨 􏿰巨

米

number

Simplifies from 数, which means number.

􏼏 米? 𥥪? 夈? 粊? 􏻛? 􏺧? 􏽊

3.2 Punctuations🔗ℹ

Rule

Connotation

Elucidation

Example

suffix ?

boolean as output

Is or not is. the output is boolean.

空? 𥥪?

suffix !

same as usage of 攵

Means directly modify the original data instead of creating new one, thus the output is void.

􏿰􏾘! 􏿰𠛮!

suffix ~

softly

Immediately returns result once meet the request.

􏹊~ 􏹇~

suffix ^

list as input

The type of input data is list

􏹊^ 伄^

include /

Of

output is determinated by prefix of /

􏿴/组合 􏿴/分组

3.3 Phrases🔗ℹ

Rule

Connotation

Elucidation

Example

suffix 分

splits data

Splits input data, and output them in values type.

􏾺分、𨚞分、䢼分、􏷳分、􏹈分

suffix 化

attribute convert

Convert attributes of data, such as from mutable to immutable.

􏻼化 􏽀化 􏽁化

insert 化

type convert

Convert types of data.

􏻿化􏿴 􏿴化􏻿

3.4 Hybrids🔗ℹ

Rule

Connotation

Elucidation

Example

suffix 𰅡

directly attribute convert

Directly convert attribute of data with modifying the orignal data.

􏼅𰅡

include /入

Function as input

Means Type of input data is procedure.

弓/入 𰁣/入 攸/入 􏾺/入 𨚞/入

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►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.8 米
On this page:
5.8.1 命名规则
5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?
5.8.3 常用概念：􏻴?，𥥪?
5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?
5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?
5.8.6 组合表达：􏻲?，􏺡?
5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘
5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐
5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句
5.8.10 数的类型例程
米?
夈?
宩?
粊?
􏻴?
􏻲?
􏺡?
􏺣?
􏺠?
􏻥?
釆?
􏻝?
􏻞?
可􏻞?
𥥪?
􏻛?
􏻚?
􏺦?
􏺧?
􏻧?
􏺟?
􏻧化
􏺟化
􏻞化
􏻝化
5.8.11 数的运算例程
+
-
*
/
􏻓
𥺌
􏻓和𥺌
糢
􏽊
􏽉
􏹚
􏺗
􏺘
?最大公约数
?最小公约数
􏹓
􏹑
􏹒
􏹐
?分子
?分母
?粊化
=
>
<
>=
<=
?平方根
?整数平方根
?整数平方根余数
?次方
?欧拉次方???
?对数
?正弦
?余弦
?正切
?反正弦???
?反余弦
?反正切
?矩数???
?极式复数???
宩
􏻟
?极式复数量???
?极式复数度???
米化句
句化米
宩化􏹔句
8.13
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5.8 米🔗ℹ

另见名扩展库：米

“数”（numbers）是编程语言乃至现代科学中极其重要的一个概念。

5.8.1 命名规则🔗ℹ

数被简写为米偏旁，以便构造单字来表示跟其相关的概念 +

  • 现代汉语中“数”有关的概念和词汇很多都来对英文的直接翻译，并且大都使用词组来构造；

  • 但我认为仅单个汉字所能包含的意义很多时候就已经比英文中的单词多了，进而还构造使用词组进行表达就会显得“含意过剩”，反而显得啰唆，含意不清；

  • 故此，本语言对关于“数”的例程做了简化：剔除多余无效的表意偏旁，代之以简洁有效的偏旁组合成单字进行表达。

见Naming Rules，有：

规则

含义

举例

下偏旁米

大类概念

米?、夈?、宩、􏻟、粊?、䉾?、􏻥?

上偏旁米

常用概念

􏻛?、􏻚?、􏺧?、􏺦?

整体性结构的米

常用概念

米?、􏻴?、釆?

偏旁石

“准确”相关

􏻧?、􏻲?、􏺟?，􏺡?

左偏旁米

内部实现、运算或转化例程（进参、出参都是数字）

􏽉、􏽊、􏺗、􏺘

偏旁􏻴

整数相关

􏹓、􏻲?、􏺡?

偏旁彡

近视值

􏹔、􏹓、􏹒、􏹑、􏹐

左偏旁立

精确位数

􏻞?、􏻝?

化

类型转化

􏻧化、􏺟化， 􏻞化、􏻝化，米化句、句化米、宩化􏹔句

5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?🔗ℹ


+

夈为古活字
+宩为古活字
+􏻟为新造字
+粊为古活字
+䉾为古活字
+

  • 下偏旁米：数相关的大类概念；

  • 夂：复的简写，更是冬的简写，冬通终，故也有所有的数终归都是复数之意；

  • 宀：实的简写；

  • 虍：虚的简写；

  • 比：因为有理数是可以用两个整数之比表示的数；

  • 北：背的简写，因为无理数是不能用两个整数之比表示的数（与之相违背）；

所有的“米”（数）都是“夈”（复数）；“夈”由“宩”（实数）和“􏻟”（虚数）组成；“宩”则由“粊”（有理数）和“䉾”（无理数）组成。 +

Examples:
> (米? 1)

#t

> (宩? 1)

#t

> (粊? 1)

#t

5.8.3 常用概念：􏻴?，𥥪?🔗ℹ


+

􏻴为新造字
+𥥪为古活字
+

  • 􏻴：米+束组成而成；

  • 束：整的简写；

  • 穴：空的简写。

“􏻴”（整数）是非常基本和常用的数学概念；“𥥪”（空位的数字）也是非常基本的数学概念。 +

Examples:
> (􏻴? 1)

#t

> (𥥪? 0)

#t

5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?🔗ℹ


+

􏻛为新造字
+􏻚为新造字
+􏺧为新造字
+􏺦为新造字
+

  • 上偏旁米：数相关的常用概念；

  • 正：正数的；

  • 贝：负数的，负的简写；

  • 日：奇数的，“奇数”在古代叫“阳数”（阴阳是贯穿于本语言的基本概念）；

  • 月：偶数的，“偶数”在古代叫“阴数”（阴阳是贯穿于本语言的基本概念）。

对于“粊”而言，最常使用的子概念是：“􏻛”（正数）、“􏻚”（负数）；对于“􏻴”而言，最常使用的子概念是：“􏺧”（奇数）、“􏺦”（偶数）。 +

Examples:
> (􏻛? 1)

#t

> (􏻚? -1)

#t

> (􏺧? 1)

#t

> (􏺦? 2)

#t

5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?🔗ℹ


+

釆为古活字
+􏻞为新造字
+􏻝为新造字
+􏻧为新造字
+􏺟为新造字
+

  • 釆：浮+米组成而成；

  • 丿：浮的简写；

  • 立：位的简写。

  • 石：准确的简写；

  • 非：非；

在编程语言的具体实现中，“米”有“􏻧”（准确）和“􏺟”（不准确）之分；“􏻴”是“􏻧”，而“􏺟”是用“釆”（浮点数）实现的（见：WIKI:IEEE_754）；“釆”按照精确度可分为“􏻞”（单倍精度浮点数）和“􏻝”（双倍精度浮点数）。 +

Examples:
> (釆? 1.1)

#t

> (􏻞? 1.1)

#f

> (􏻝? 1.1)

#t

> (􏻧? 1)

#t

> (􏺟? 1.1)

#t

5.8.6 组合表达：􏻲?，􏺡?🔗ℹ


+

􏻲为新造字
+􏺡为新造字
+

  • 􏻴：整数的简写；

  • 石：准确的简写；

  • 非：非；

  • 丰：非的简写；

  • 贝：负的简写；

Examples:
> (􏻲? 1)

#t

> (􏺡? 1)

#t

5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘🔗ℹ


+

􏽊为新造字
+􏽉为新造字
+􏺗为新造字
+􏺘为新造字
+

  • 曾：增的简写，曾是一种多层的蒸屉；

  • 员：损/陨的简写，陨本意是“球高从落下”；

  • 彐：寻找，参见彐；

  • 大：数值大的；

  • 小：数值小的。

Examples:
> (􏽊 1)

2

> (􏽉 1)

0

> (􏺗 1 2 3 4 5)

5

> (􏺘 1 2 3 4 5)

1

5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐🔗ℹ


􏹚为新造字
+􏹓为新造字
+􏹒为新造字
+􏹑为新造字
+􏹐为新造字
+

  • 􏻴：整数的简写；

  • 丨丨：绝对值（源自数学上的符号）；

  • 彡：数值修约、简化、近似值的；

  • 大：数值趋大的；

  • 小：数值趋小的。

  • 穴：数值趋零的，𥥪的简写，见𥥪?。

另见：􏹔

对于“数值修约”而言，可分为无条件修约与有条件修约。

前者方法有：上取整（􏹑）、下取整（􏹒）、截尾取整（􏹐）、无条件进位（􏹍）；后者方法则有：四舍五入、五舍六入、四舍六入五留双（奇进偶舍）（􏹓）。

上述方法中，“四舍五入法”最广为人知：如遇0、1、2、3、4则退位，5、6、7、8、9则进位，进退位虽都各为五个数字。但是0其实是不处理值、准确无变化值，这样算来退位实为1、2、3、4这四个，所以从统计学角度讲平均值是偏大的。

而“四舍六入五留双”其实是更精确的规则，所以默认采用之。

Examples:
> (􏹚 -1)

1

> (􏹚 1)

1

> (􏹚 0)

0

> (􏹓 1.1)

1.0

> (􏹓 1.5)

2.0

> (􏹓 1.6)

2.0

> (􏹓 2.1)

2.0

> (􏹓 2.5)

2.0

> (􏹓 2.6)

3.0

> (􏹒 1.1)

2.0

> (􏹒 -1.1)

-1.0

> (􏹑 1.9)

1.0

> (􏹑 -1.9)

-2.0

> (􏹐 1.9)

1.0

> (􏹐 -1.9)

-1.0

5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句🔗ℹ


+

􏹔为新造字
+

  • 彡：数值修约、简化、近似值的；

另见：􏹔

Examples:
> (􏻧化 1.1)

2476979795053773/2251799813685248

> (􏺟化 1)

1.0

> (􏻞化 1)

real->single-flonum: unsupported

> (􏻝化 1)

1.0

> (米化句 1.123)

"1.123"

> (句化米 "1.1")

1.1

> (句化米 "1.0")

1.0

> (句化米 "1")

1

> (宩化􏹔句 0.014)

"0.01"

> (宩化􏹔句 0.015)

"0.01"

> (宩化􏹔句 0.016)

"0.02"

> (宩化􏹔句 0.044)

"0.04"

> (宩化􏹔句 0.045)

"0.04"

> (宩化􏹔句 0.046)

"0.05"

5.8.10 数的类型例程🔗ℹ

 (require ming/racket/base) package: ming

composition

米? :  = number?

composition

夈?

 : elem + 复数?（各取偏旁得造，复数=实数+虚数；另 + needtofix + 是 + needtofix + 的简写， + needtofix + 通 + needtofix + ，故也有所有的数终归都是复数之意）
 = complex?

composition

宩? :  = real?

composition

粊?

 : elem + 有理数?（可以用两个整数之比表示的实数称为有理数（无理数用 + needtofix + 表示（北是背的原形）））
 = rational?

composition

􏻴? :  = integer?

composition

􏻲? :  = exact-integer?

composition

􏺡? :  = exact-nonnegative-integer?

composition

􏺣? :  = exact-positive-integer?

composition

􏺠? :  = inexact-real?

composition

􏻥? : elem + 固定数（ + needtofix + 的一种具体实现） = fixnum?

composition

釆? :  = flonum?

composition

􏻝? : elem + 双倍精度浮点数（仿 + needtofix + ，且占用64位内存而得造）

 = double-flonum?

composition

􏻞?

 : elem + 单倍精度浮点数（ + needtofix + 是 + needtofix + 的简写，因其在实现上占用32位内存而得造）
 = single-flonum?

composition

可􏻞? : 可 + 􏻞 + ? = single-flonum-available?

composition

𥥪? :  = zero?

composition

􏻛? :  = positive?

composition

􏻚? :  = negative?

composition

􏺦? :  = even?

composition

􏺧? :  = odd?

composition

􏻧? :  = exact?

composition

􏺟? :  = inexact?

composition

􏻧化 : elem + needtofix + 转化为 + needtofix = inexact->exact

composition

􏺟化 : elem + needtofix + 转化为 + needtofix = exact->inexact

composition

􏻞化 : elem + needtofix + 转化为 + needtofix = real->single-flonum

composition

􏻝化 : elem + needtofix + 转化为 + needtofix = real->double-flonum

5.8.11 数的运算例程🔗ℹ

 (require ming/racket/base) package: ming

composition

+ :  = +

composition

- :  = -

composition

* :  = *

composition

/ :  = /

composition

􏻓 :  = quotient

composition

𥺌 :  = remainder

composition

􏻓和𥺌 :  = quotient/remainder

composition

糢 :  = modulo

composition

􏽊 :  = add1

composition

􏽉 :  = sub1

composition

􏹚 :  = abs

composition

􏺗 :  = max

composition

􏺘 :  = min

composition

?最大公约数 : ? + 最 + 大 + 公 + 约 + 数 = gcd

composition

?最小公约数 : ? + 最 + 小 + 公 + 约 + 数 = lcm

composition

􏹓 :  = round

composition

􏹑 :  = floor

composition

􏹒 :  = ceiling

composition

􏹐 :  = truncate

composition

?分子 : ? + 分 + 子 = numerator

composition

?分母 : ? + 分 + 母 = denominator

composition

?粊化 :  = rationalize

composition

= :  = =

composition

> :  = >

composition

< :  = <

composition

>= :  = >=

composition

<= :  = <=

composition

?平方根 : ? + 平 + 方 + 根 = sqrt

composition

?整数平方根 : ? + 整 + 数 + 平 + 方 + 根 = integer-sqrt

composition

?整数平方根余数 : ? + 整 + 数 + 平 + 方 + 根 + 余 + 数

 = integer-sqrt/remainder

composition

?次方 : ? + 次 + 方 = expt

composition

?欧拉次方??? : ? + 欧 + 拉 + 次 + 方 + ? + ? + ? = exp

composition

?对数 : ? + 对 + 数 = log

composition

?正弦 : ? + 正 + 弦 = sin

composition

?余弦 : ? + 余 + 弦 = cons

composition

?正切 : ? + 正 + 切 = tan

composition

?反正弦??? : ? + 反 + 正 + 弦 + ? + ? + ? = asin

composition

?反余弦 : ? + 反 + 余 + 弦 = acos

composition

?反正切 : ? + 反 + 正 + 切 = atan

composition

?矩数??? : ? + 矩 + 数 + ? + ? + ? = make-rectangular

composition

?极式复数??? : ? + 极 + 式 + 复 + 数 + ? + ? + ? = make-polar

composition

宩 :  = real-part

composition

􏻟 :  = imag-part

composition

?极式复数量??? : ? + 极 + 式 + 复 + 数 + 量 + ? + ? + ? = magnitude

composition

?极式复数度??? : ? + 极 + 式 + 复 + 数 + 度 + ? + ? + ? = angle

composition

米化句 : 米 + 化 + 句 = number->string

composition

句化米 : 句 + 化 + 米 = string->number

composition

宩化􏹔句 : elem + 将 + needtofix + 转化成 + needtofix + needtofix

 = real->decimal-string

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mode 100644 index 00000000..2ec0789e --- /dev/null +++ b/ming/pairs-and-lists.html @@ -0,0 +1,43 @@ + +5.1 双 and 􏿴
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.1 双 and 􏿴
On this page:
5.1.1 Naming Rules
5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳
5.1.3 阴阳+  -
5.1.4 􏿝, 􏿜
5.1.5 攸
5.1.6 􏼏, 􏼏*
5.1.7 􏼓, 􏼎
5.1.8 弔, 弓,弓*, 􏹂, 􏹂*
5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓
5.1.10 末, 􏹨
5.1.11 巨
5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/  入,𨚞/  入, 􏾺?
5.1.13 左􏸑, 左􏸒, 左􏸓
5.1.14 𰂋，偏，􏾜，重、𠝤
5.1.15 􏾛、𠆯
5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇
5.1.17 􏹈分，􏹈巨
5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎
5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘
5.1.20 􏷍/  组合、􏷍/  排列组合，􏷍/  笛卡尔积，􏷍/  分组
5.1.21 ming/  racket/  base
双
双?
阳
阴
㐅?
㐅
􏿴
􏿫
􏿴?
􏼎
弔
巨
􏿝
􏾛
􏹊~
􏹊~/  􏾗
􏹊~/  􏾃
􏹊~/  侗
􏹊^
􏹊^/  􏾗
􏹊^/  􏾃
􏹊^/  侗
𠆯
􏹋
􏹋/  􏾗
􏹋/  􏾃
􏹋/  侗
􏹅
􏹉
􏹉/  􏾗
􏹉/  􏾃
􏹉/  侗
􏹄
􏹌
􏹈
􏷒
􏷑
􏷐
􏷏
􏷎
右􏷎
阳+
阴+
阳-
阴-
阳+  +
阴+  +
阳-+
阴-+
阳+  -
阴+  -
阳--
阴--
阳+  +  +
阴+  +  +
阳-+  +
阴-+  +
阳+  -+
阴+  -+
阳--+
阴--+
阳+  +  -
阴+  +  -
阳-+  -
阴-+  -
阳+  --
阴+  --
阳---
阴---
5.1.22 ming/  racket/  list
穴
􏷜
􏷛
􏷚
􏷙
􏷘
􏷗
􏷖
􏷕
􏷔
􏷓
末
􏹨
􏼓
攸
攸/  入
弓
􏹂
弓*
􏹂*
􏾺
𨚞
􏷵
􏷴
􏾺/  入
𨚞/  入
􏷵/  入
􏷴/  入
􏸄
􏸃
􏸄/  入
􏸃/  入
􏾺?
左􏸑
左􏸒
左􏸓
􏿜
𰂋
偏
􏾜
重
𠝤
􏹇
􏹈分
􏹈巨
􏹈􏷑
􏷑􏿝
􏼏
􏼏*
􏷍/  组合
􏷍/  排列组合
􏷍序列/  组合
􏷍序列/  排列组合
􏷑􏺗
􏷑􏺘
􏷍/  分组
􏷍/  笛卡尔积
􏹇~
8.13
  top  contents    up   

5.1 双 and 􏿴🔗ℹ

Originates from Pairs and Lists and Extends to 􏿴.

5.1.1 Naming Rules🔗ℹ

To extend Naming Rules, specifically there are： +

Character

Connotation

Elucidation

Example

􏷫 as radical

resembles 􏿴

Has the similar function process as it resembling and the type of output is same as 􏿴 accordingly.

􏼓 􏼎 􏼏 􏿝

􏷩 as radical

resembles 􏿫

Has the similar function process as it resembling and the type of output is same as (􏿫) accordingly.

􏿜

亻 as component

general subset or cousion

Returns a new list with elements produced from the input list.(Implies the input data and output data are the same type.)

伄 攸 𰂋 偏 􏾜 􏾛 偅 𠆯 􏹈 􏷍?

阝 as component

serial subset

Returns a new list with elements serially produced from the input list.(Implies the input data and output data are the same type.)

􏾝 􏾺 𨚞 􏹋

􏸋 as component

serial subset of lists

Returns a new list with elements serially produced from the input lists.(Implies the multiple input data and output data are the same type.)

左􏸑

刂 as component

broken subset

Returns a new list with removing some elements from the input list.

􏷵 􏷴 􏺊 􏾘 𠝤 􏹊 􏹇

􏸌 as component

broken subset of lists

Returns a new list with removing some elements from the input lists.(Implies the multiple input data and output data are the same type.)

左􏸒

分 as component

split input list to values

Implies the type of output data is values(並).

􏸄 􏸃

􏸍 as component

split input lists to values

Implies input data is lists and the type of output data is values(並).

􏸄 􏸃

入 as component

same as /入

Implies the type of input data is function.

􏹃 􏹌 􏹅 􏹇 􏹂

土 as component

product data

Manufactures data and product new one, implies the type of output data is not same as input.

􏷎

Phrase

-

-

-

suffixed with 分

split data to values

分

􏹈分

Punctuation

-

-

-

suffixed with *

strengthen

Strengthen the process, thus the data of output may become longer, and the type may be changed accordingly.

弓* 􏹂* 􏼏*

suffixed with ~

soften

Soften the process, thus the output data shorter.

􏹊~ 􏹇~

suffixed with ^

list as input

Implies the type of input data is list.

􏹊^ 伄^ 􏾘^

inserted with /

extend prefix

Suffix of / can be considered as an extending explanation of its prefix.

􏷍/组合 􏷍/分组

suffixed with ?

boolean as output

Implies the type of output data is boolean.

双? 􏿴? 􏿳?

Hybrid

-

-

-

has /入

function as input

Implies the type of input data is function.

攸/入 􏾺/入 𨚞/入

5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳 🔗ℹ

Abstractly, we can pair two data together. Integrally, it is called 双. Separately, the position where set the first data is call 阳, the second is call 阴.

Further more, if we put another 双 to 阴 position of the former 双, we get a linked data. Likewise, the linked data can be extended as long as you want. By this way, if we leave 阴 of the ending 双 to be empty(㐅), we get a data called 􏿴; if not, we call it 􏿫.

双: 又: resembles the picture of human’s right hand trying to hold an object. Two human hand here stand for an object with including two holding data.
zi
+
㐅: simplified from 穴. 穴: simplified from 空, which means empty.
zi
+
􏿴: the reaching to left bottom 又 means multiple 双 linked together, 㐅 means ending with empty(㐅).
zi
+
􏿫: resembles 􏿴 except substituting 㐅 with 又, which means the ending position is not empty(㐅).
zi
+
阳: 日: means sun, implicitly means the former part of an object, or the position aspect of an object. Ref to wiki.
zi
+
阴: 月: means moon, implicitly means the secondary part of of an object, or the negative aspect of an object. Ref to wiki.
zi

Examples:
> (双 1 2)

'(1 . 2)

> (双 1 (双 2 (双 3 (双 4 㐅))))

'(1 2 3 4)

> (􏿴 1 2 3 4)

'(1 2 3 4)

> (双 1 (双 2 (双 3 4)))

'(1 2 3 . 4)

> (􏿫 1 2 3 4)

'(1 2 3 . 4)

> (􏿫 1 2 3 '(4))

'(1 2 3 4)

> (阳 '(1 . 2))

1

> (阴 '(1 . 2))

2

> (阳 '(1 2 3 4))

1

> (阴 '(1 2 3 4))

'(2 3 4)

5.1.3 阴阳+-🔗ℹ

阳+/阴+/阳-/阴-: For the case of functions starting with 阴 or 阳 and following with + or -, + stands for 阳 and - stands for 阴.
+For example, (阴+-- lst) is short for (阴 (阴 (阳 (阴 lst)))).

zi

+

Examples:
> (阴+ '(1 2 3 4))

2

> (阴-+ '(1 2 3 4))

3

> (阳 '((1 1.1) 2 3 4))

'(1 1.1)

> (阳+ '((1 1.1) 2 3 4))

1

> (阳-+ '((1 1.1) 2 3 4))

1.1

5.1.4 􏿝, 􏿜🔗ℹ

􏿝/􏿜: 毌: simplified from 贯, which means append, going through a few objects and connect them together.

zi

+

Examples:
> (􏿴 1 2 3 4)

'(1 2 3 4)

> (􏿝 '(1) '(2) '(3) '(4))

'(1 2 3 4)

> (􏿝 '(1) '(2 3 4) '(5 6) '(7))

'(1 2 3 4 5 6 7)

> (􏿝 '(a b) 'c)

'(a b . c)

> (􏿝 '(a b) '(c . d))

'(a b c . d)

> (􏿝 '() 'a)

'a

> (􏿝 'a)

'a

> (􏿫 1 2 3 4)

'(1 2 3 . 4)

> (􏿜 '(1) '(2) '(3) '(4))

'(1 2 3 . 4)

> (􏿜 '(1) '(2 3 4) '(5 6) '(7))

'(1 2 3 4 5 6 . 7)

> (􏿫 1 2 3 '(4))

'(1 2 3 4)

> (􏿜 '(1) '(2) '(3) '((4)))

'(1 2 3 4)

> (􏿜 '(1) '(2 22) '(3 33) '((4 44)))

'(1 2 22 3 33 4 44)

> (􏿜 '(1) '(2 22) '((3 33)) '((4 44)))

'(1 2 22 (3 33) 4 44)

> (􏿜 '(a b) '(c))

'(a b . c)

> (􏿜 '(a b) '((c . d)))

'(a b c . d)

> (􏿜 '() '(a))

'a

> (􏿜 '(a))

'a

5.1.5 攸🔗ℹ

攸: 攵: means raping over something to make it changing itself, especially means set value. 丨: means only changing one value.
zi
+

🐘 𰁦 􏾩 𢪛

Examples:
> (攸 '(10 15 20 25) 1 1555)

'(10 1555 20 25)

> (攸/入 '(10 15 20 25) 1 􏽊)

'(10 16 20 25)

5.1.6 􏼏, 􏼏*🔗ℹ

􏼏: 米: means numbers, ref to: 米.
zi

Examples:
> (􏼏 10)

'(0 1 2 3 4 5 6 7 8 9)

> (􏼏 10 20)

'(10 11 12 13 14 15 16 17 18 19)

> (􏼏 10 20 2)

'(10 12 14 16 18)

> (􏼏* 10 20)

'(10 11 12 13 14 15 16 17 18 19 20)

> (􏼏* 10 20 2)

'(10 12 14 16 18 20)

5.1.7 􏼓, 􏼎🔗ℹ

􏼓: 三: originally means three, especially means duplicate data.
zi
+
􏼎: 弓.
zi
+

Examples:
> (􏼓 5 'foo)

'(foo foo foo foo foo)

> (􏼎 5 並)

'(0 1 2 3 4)

> (􏼎 5 􏽊)

'(1 2 3 4 5)

> (􏼎 5 (入 (n)
          (􏼓 5 'foo)))

'((foo foo foo foo foo)

  (foo foo foo foo foo)

  (foo foo foo foo foo)

  (foo foo foo foo foo)

  (foo foo foo foo foo))

5.1.8 弔, 弓,弓*, 􏹂, 􏹂*🔗ℹ

􏹂: 弓: resembles a rope wraped on stick, thus this rope can be used to count how many circles it is wrapping on stick. Especially means the index of an object in ming-lang.
zi
+
弔: simplified from 第 and resembles an stick wrapped with a rope in circles, thus it can be used to ref to an specific circle. Especially means reference in ming-lang.
zi
+

🐘 伄 􏾘 􏾝

Examples:
> (弔 '(a b c d e c f) 2)

'c

> (弓 '(a b c d e c f) 'c)

2

> (弓* '(a b c d e c f) 'c)

'(2 5)

> (􏹂 '(a b 11 d 22 c f) 米?)

2

> (􏹂* '(a b 11 d 22 c f) 米?)

'(2 4)

5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓🔗ℹ

一: means one.
zi
+
二: means two.
zi
+
三: means three.
zi
+
四: means four.
zi
+
五: means five.
zi
+
六: means six.
zi
+
七: means seven.
zi
+
八: means eight.
zi
+
九: means nine.
zi
+
十: means ten.
zi
+

Examples:
> (􏷜 '(1 2 3 4 5 6 7 8 9 10))

1

> (􏷛 '(1 2 3 4 5 6 7 8 9 10))

2

> (􏷚 '(1 2 3 4 5 6 7 8 9 10))

3

> (􏷙 '(1 2 3 4 5 6 7 8 9 10))

4

> (􏷓 '(1 2 3 4 5 6 7 8 9 10))

10

5.1.10 末, 􏹨🔗ℹ

末: originally means treetop, especially means last. (木 means tree or wood, 本 means tree root.)
zi
+

Examples:
> (末 '(1 2 3 4))

4

> (􏹨 '(1 2 3 4))

'(4)

> (􏹨 '(1 2 3 . 4))

'(3 . 4)

5.1.11 巨🔗ℹ

巨: simplified from 矩, originally means straightedge, ruler, especially means measure length.
zi
+

🐘 􏹃

Example:
> (巨 '(a b c d e 3 f g))

8

5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?🔗ℹ

􏾺/􏷵/􏸄: 左: means left.

zi

+

𨚞/􏷴/􏸃: 右: means right.

zi

+

🐘 􏺊

Examples:
> (􏾺 '(a b c d e f g) 2)

'(a b)

> (𨚞 '(a b c d e f g) 2)

'(f g)

> (􏷵 '(a b c d e f g) 2)

'(c d e f g)

> (􏷴 '(a b c d e f g) 2)

'(a b c d e)

> (􏸄 '(a b c d e f g) 2)

'(a b)

'(c d e f g)

> (􏸃 '(a b c d e f g) 2)

'(a b c d e)

'(f g)

> (􏾺/入 '(8 4 a b 1 c d 2 e f g 3 5 9) 米?)

'(8 4)

> (𨚞/入 '(8 4 a b 1 c d 2 e f g 3 5 9) 米?)

'(3 5 9)

> (􏾺? '(a b) '(a b c d e f g))

#t

> (􏾺? '(a b z) '(a b c d e f g))

#f

5.1.13 左􏸑, 左􏸒, 左􏸓🔗ℹ

􏸑/􏸒/􏸓: 同.

zi

+

Examples:
> (左􏸑 '(a b x y z) '(a b c d e f g))

'(a b)

> (左􏸒 '(a b x y z) '(a b c d e f g))

'(x y z)

'(c d e f g)

> (左􏸓 '(a b x y z) '(a b c d e f g))

'(a b)

'(x y z)

'(c d e f g)

5.1.14 𰂋，偏，􏾜，重、𠝤🔗ℹ

间: means insert between.
zi
+
扁: means faltten.
zi
+
糸: simplified from 紊, means shuffle.
zi
+
重: means duplication.
zi
+

🐘 偅

Examples:
> (𰂋 '(a b c d) '和)

'(a 和 b 和 c 和 d)

> (偏 '((a b) (c d) (e f)))

'(a b c d e f)

> (􏾜 '(a b c d e d c b a))

'(d c b b a d e c a)

> (重 '(a b c d e d c b a))

'd

> (𠝤 '(a b c d e d c b a))

'(a b c d e)

5.1.15 􏾛、𠆯🔗ℹ

屰: resembles the picture of person standing on his head, means reverse in ming-lang.
zi
+
川: simplified from 顺, means in order.
zi
+

Examples:
> (􏾛 '(21 3 888 666 55 77 1000))

'(1000 77 55 666 888 3 21)

> (𠆯 '(21 3 888 666 55 77 1000) <)

'(3 21 55 77 666 888 1000)

> (𠆯 '(21 3 888 666 55 77 1000) >)

'(1000 888 666 77 55 21 3)

> (𠆯 '("cat" "dog" "chicken" "duck" "fox") 句<?)

'("cat" "chicken" "dog" "duck" "fox")

> (𠆯 '("cat" "dog" "chicken" "duck" "fox") 句>?)

'("fox" "duck" "dog" "chicken" "cat")

5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇🔗ℹ

􏹅/􏹇/􏹄/􏹈/􏹌/􏹊: 彐: simplified from 寻, means find, search.

zi

+

🐘 􏹊 􏾘 􏺈 􏺇

Examples:
> (􏹋 'c '(a b c d e f))

'(c d e f)

> (􏹉 'c '((a b) (c d) (e f)))

'(c d)

> (􏹊~ 'c '(a b c d e c f))

'(a b d e c f)

> (􏹊^ '(c e) '(a b c d e c f))

'(a b d f)

> (􏹌 米? '(a b 1 c d 3 e 9 f))

1

> (􏹈 米? '(a b 1 c d 3 e 9 f))

'(1 3 9)

> (􏹅 米? '(a b 1 c d 3 e 9 f))

'(1 c d 3 e 9 f)

> (􏹄 米? '((a b) (1 d) (j k) (8 f)))

'(1 d)

> (􏹇 米? '(a b 1 c d 3 e 9 f))

'(a b c d e f)

> (􏹇~ 米? '(a b 1 c d 3 e 9 f))

'(a b c d 3 e 9 f)

5.1.17 􏹈分，􏹈巨🔗ℹ

🐘 巨 􏹃

Examples:
> (􏹈分 米? '(a b 1 c d 3 e 9 f))

'(1 3 9)

'(a b c d e f)

> (􏹈巨 米? '(a b 1 c d 3 e 9 f))

3

5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎🔗ℹ

􏷒: 夂: simplified from 各, means each.
zi
+
􏷑: (􏷑 PROC (􏿴 a b c)) is simplified from: (􏿴 (PROC a) (PROC b) (PROC c))
zi
+
􏷐: (􏷐 PROC (􏿴 a b c)) is simplf-from: (并 (PROC a) (PROC b) (PROC c))
zi
+
􏷏: (􏷏 PROC (􏿴 a b c)) is simplified from: (戈 (PROC a) (PROC b) (PROC c))
zi
+
􏷎: (􏷎 PROC z (􏿴 a b c)) is simplified from: (PROC c (PROC b (PROC a z)))
(右􏷎 PROC z (􏿴 a b c)) is simplified from: (PROC a (PROC b (PROC c z)))
zi

Examples:
> (􏷒 行示 (􏿴 2 4 6 8))

2

4

6

8

> (􏷑 􏽊 '(1 2 3 4))

'(2 3 4 5)

> (􏷑 + '(1 2 3 4) '(100 200 300 400))

'(101 202 303 404)

> (􏷐 􏻛? '(1 2 -3 4))

#f

> (􏷐 + '(1 2 3 4) '(100 200 300 400))

404

> (􏷐 􏻚? '(1 2 -3 4))

#f

> (􏷏 + '(1 2 3 4) '(100 200 300 400))

101

> (􏷎 + 0 '(1 2 -3 4))

4

> (􏷎 双 '() '(1 2 -3 4))

'(4 -3 2 1)

> (右􏷎 双 '() '(1 2 -3 4))

'(1 2 -3 4)

5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘🔗ℹ

Examples:
> (􏹈􏷑 (入 (x) (并 (􏻛? x) (􏽊 x))) '(-2 -1 0 1 2))

'(2 3)

> (􏷑􏿝 􏻿化􏿴 '(#(1) #(2 3) #(4)))

'(1 2 3 4)

> (􏷑􏺗 char->integer '(#\a #\y #\b #\k #\c #\j #\d))

#\y

> (􏷑􏺘 char->integer '(#\a #\y #\b #\k #\c #\j #\d))

#\a

> (􏷑􏺗 阳 '((3 pears) (1 banana) (2 apples)))

'(3 pears)

> (􏷑􏺘 阳 '((3 pears) (1 banana) (2 apples)))

'(1 banana)

5.1.20 􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组🔗ℹ


+

Examples:
> (􏷍/组合 '(a b c))

'(() (a) (b) (a b) (c) (a c) (b c) (a b c))

> (􏷍/排列组合 '(a b c))

'((a b c) (b a c) (a c b) (c a b) (b c a) (c b a))

> (􏷍/笛卡尔积 '(1 2 3) '(a b c))

'((1 a) (1 b) (1 c) (2 a) (2 b) (2 c) (3 a) (3 b) (3 c))

> (􏷍/分组 米? '(1 a 2 b 3 c))

'((1 2 3) (a b c))

5.1.21 ming/racket/base🔗ℹ

 (require ming/racket/base) package: ming

composition

双 : 又 + 又 = cons

composition

双? : 双 + ? = pair?

composition

阳 : 阝 + 日 = car

composition

阴 : 阝 + 月 = cdr

composition

㐅? : 㐅 + ? = null?

composition

㐅 : 㐅 = null

composition

􏿴 : 􏿴 = list

composition

􏿫 : 􏿫 = list*

composition

􏿴? : 􏿴 + ? = list?

composition

􏼎 : 弓 + 􏷫 = build-list

composition

弔 : 弔 = list-ref

composition

巨 : 巨 = length

composition

􏿝 : 毌 + 􏷫 = append

composition

􏾛 : 亻 + 屰 = reverse

composition

􏹊~ : 􏹊 + ~ = remove

composition

􏹊~/􏾗 : 􏹊~ + / + 􏾗 = remw

composition

􏹊~/􏾃 : 􏹊~ + / + 􏾃 = remv

composition

􏹊~/侗 : 􏹊~ + / + 侗 = remq

composition

􏹊^ : 􏹊 + ^ = remove*

composition

􏹊^/􏾗 : 􏹊^ + / + 􏾗 = remw*

composition

􏹊^/􏾃 : 􏹊^ + / + 􏾃 = remv*

composition

􏹊^/侗 : 􏹊^ + / + 侗 = remq*

composition

𠆯 : 亻 + 川 = sort

composition

􏹋 : 彐 + 阝 = member

composition

􏹋/􏾗 : 􏹋 + / + 􏾗 = memw

composition

􏹋/􏾃 : 􏹋 + / + 􏾃 = memv

composition

􏹋/侗 : 􏹋 + / + 侗 = memq

composition

􏹅 : 􏹌 + 阝 = memf

composition

􏹉 : 日 + 彐 = assoc

composition

􏹉/􏾗 : 􏹉 + / + 􏾗 = assw

composition

􏹉/􏾃 : 􏹉 + / + 􏾃 = assv

composition

􏹉/侗 : 􏹉 + / + 侗 = assq

composition

􏹄 : 日 + 􏹌 = assf

composition

􏹌 : 彐 + 入 = findf

composition

􏹈 : 亻 + 􏹌 = filter

composition

􏷒 : 夂 + 入 = for-each

composition

􏷑 : 亻 + 􏷒 = map

composition

􏷐 : 并 + 􏷒 = andmap

composition

􏷏 : 戈 + 􏷒 = ormap

composition

􏷎 : 土 + 􏷒 = foldl

composition

右􏷎 : 右 + 􏷎 = foldr

composition

阳+ : 阳+ = caar

composition

阴+ : 阴+ = cadr

composition

阳- : 阳- = cdar

composition

阴- : 阴- = cddr

composition

阳++ : 阳+ = caaar

composition

阴++ : 阴+ = caadr

composition

阳-+ : 阳- = cadar

composition

阴-+ : 阴- = caddr

composition

阳+- : 阳+ = cdaar

composition

阴+- : 阴+ = cdadr

composition

阳-- : 阳- = cddar

composition

阴-- : 阴- = cdddr

composition

阳+++ : 阳+ = caaaar

composition

阴+++ : 阴+ = caaadr

composition

阳-++ : 阳- = caadar

composition

阴-++ : 阴- = caaddr

composition

阳+-+ : 阳+ = cadaar

composition

阴+-+ : 阴+ = cadadr

composition

阳--+ : 阳- = caddar

composition

阴--+ : 阴- = cadddr

composition

阳++- : 阳+ = cdaaar

composition

阴++- : 阴+ = cdaadr

composition

阳-+- : 阳- = cdadar

composition

阴-+- : 阴- = cdaddr

composition

阳+-- : 阳+ = cddaar

composition

阴+-- : 阴+ = cddadr

composition

阳--- : 阳- = cdddar

composition

阴--- : 阴- = cddddr

5.1.22 ming/racket/list🔗ℹ

 (require ming/racket/list) package: ming

composition

穴 : 穴 = empty

composition

􏷜 : 弔 + 一 = first

composition

􏷛 : 弔 + 二 = second

composition

􏷚 : 弔 + 三 = third

composition

􏷙 : 弔 + 四 = fourth

composition

􏷘 : 弔 + 五 = fifth

composition

􏷗 : 弔 + 六 = sixth

composition

􏷖 : 弔 + 七 = seventh

composition

􏷕 : 弔 + 八 = eighth

composition

􏷔 : 弔 + 九 = ninth

composition

􏷓 : 弔 + 十 = tenth

composition

末 : 末 = last

composition

􏹨 : 末 + 双 = last-pair

composition

􏼓 : 三 + 􏷫 = make-list

composition

攸 : 亻 + 丨 + 攵 = list-set

composition

攸/入 : 攸 + / + 入 = list-update

composition

弓 : 弓 = index-of

composition

􏹂 : 弓 + 入 = index-where

composition

弓* : 弓 + * = indexes-of

composition

􏹂* : 􏹂 + * = indexes-where

composition

􏾺 : 左 + 阝 = take

composition

𨚞 : 右 + 阝 = take-right

composition

􏷵 : 左 + 刂 = drop

composition

􏷴 : 右 + 刂 = drop-right

composition

􏾺/入 : 􏾺 + / + 入 = takef

composition

𨚞/入 : 𨚞 + / + 入 = takef-right

composition

􏷵/入 : 􏷵 + / + 入 = dropf

composition

􏷴/入 : 􏷴 + / + 入 = dropf-right

composition

􏸄 : 左 + 分 = split-at

composition

􏸃 : 右 + 分 = split-at-right

composition

􏸄/入 : 􏸄 + / + 入 = splitf-at

composition

􏸃/入 : 􏸃 + / + 入 = splitf-at-right

composition

􏾺? : 􏾺 + ? = list-prefix?

composition

左􏸑 : 左 + 同 + 􏸋 = take-common-prefix

composition

左􏸒 : 左 + 同 + 􏸌 = drop-common-prefix

composition

左􏸓 : 左 + 同 + 􏸍 = split-common-prefix

composition

􏿜 : 毌 + 􏷩 = append*

composition

𰂋 : 亻 + 间 = add-between

composition

偏 : 亻 + 扁 = flatten

composition

􏾜 : 亻 + 糸 = shuffle

composition

重 : 重 = check-duplicates

composition

𠝤 : 重 + 刂 = remove-duplicates

composition

􏹇 : 􏹌 + 刂 = filter-not

composition

􏹈分 : 􏹈 + 分 = partition

composition

􏹈巨 : 􏹈 + 巨 = count

composition

􏹈􏷑 : 􏹈 + 􏷑 = filter-map

composition

􏷑􏿝 : 􏷑 + 􏿝 = append-map

composition

􏼏 : 米 + 􏷫 = range

composition

􏼏* : 􏼏 + * = inclusive-range

composition

􏷍/组合 : 􏷍 + / + 组合 = combinations

composition

􏷍/排列组合 : 􏷍 + / + 排列组合 = permutations

composition

􏷍序列/组合 : 􏷍序列 + / + 组合 = in-combinations

composition

􏷍序列/排列组合 : 􏷍序列 + / + 排列组合 = in-permutations

composition

􏷑􏺗 : 􏷑 + 􏺗 = argmax

composition

􏷑􏺘 : 􏷑 + 􏺘 = argmin

composition

􏷍/分组 : 􏷍 + / + 分组 = group-by

composition

􏷍/笛卡尔积 : 􏷍 + / + 笛卡尔积 = cartesian-product

composition

􏹇~ : 􏹇 + ~ = remf

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\ No newline at end of file diff --git a/ming/procedures.html b/ming/procedures.html new file mode 100644 index 00000000..8021f891 --- /dev/null +++ b/ming/procedures.html @@ -0,0 +1,5 @@ + +5.12 禾
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.12 禾
On this page:
5.12.1 禾、禾?
5.12.2 入、􏸗
5.12.3 􏸛，􏸚
5.12.4 􏸘
5.12.5 Base References
入
􏸗
名
令
𡊤
禾?
秝
􏸕
􏸘
5.12.6 Additional References
𥟍
8.13
  top  contents    up   

5.12 禾🔗ℹ

Racket’s Procedures is especially called 禾 in ming-lang.

5.12.1 禾、禾?🔗ℹ

禾: simplifies for 程, which means journey/procedure in modern chinese.
zi
+

Example:
> (禾? (􏸧 1))

#t

5.12.2 入、􏸗🔗ℹ

🐘 􏸧、􏸬、􏸫、􏸪

入: resembles λ, especially means lambda in ming-lang.
zi
+

Examples:
> (入 () 空)

#<procedure>

> (名 fun
    (􏸗 [() #f]
        [(x) x]
        [(x y) (􏿴 x y)]
        [(x y z) (􏻿 x y z)]))
> (fun)

#f

> (fun 1)

1

> (fun 1 2)

'(1 2)

> (fun 1 2 3)

'#(1 2 3)

5.12.3 􏸛，􏸚🔗ℹ

  • 􏸛: PUA unicode, especially designs for ming-lang.

  • 􏸚: PUA unicode, especially designs for ming-lang.

Examples:
> ((􏸛 􏿴 􏾺分) '("a" "b" "c") 2)

􏸛: undefined;

 cannot reference an identifier before its definition

  in module: top-level

> ((􏸚 句化勺 􏼪) '("a" "b" "c"))

􏸚: undefined;

 cannot reference an identifier before its definition

  in module: top-level

5.12.4 􏸘🔗ℹ

􏸘: PUA unicode, especially designs for ming-lang. +

Example:
> ((􏸘 􏿴 '􏿴1) 'a 'b 'c 'd)

'(a b c d)

5.12.5 Base References🔗ℹ

 (require ming/racket/base) package: ming

composition

入 : 入 = λ

composition

􏸗 : 入 + 肖 = case-lambda

composition

名 : 名 = define

composition

令 : 令 = let

composition

𡊤 : 𡊤 = apply

composition

禾? : 禾 + ? = procedure?

composition

秝 : 禾 + 禾 = compose

composition

􏸕 : 秝 + 一 = compose1

composition

􏸘 : 禾 + 名 + 攵 = procedure-rename

5.12.6 Additional References🔗ℹ

 (require ming/racket/function) package: ming

composition

𥟍 : 禾 + 非 = negate

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►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.13 未分类
On this page:
5.13.1 同? 􏷇? 􏷆? 􏷈?
5.13.2 遍?
同?
􏷇?
􏷈?
􏷆?
格
写
行写
示
行示
陈
行陈
遍
遍/  􏿴
求
无?
无
山?
报参错
8.13
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5.13 未分类🔗ℹ

5.13.1 同? 􏷇? 􏷆? 􏷈?🔗ℹ


+

同: means equal in Chinese.
zi
+
􏷇: almost same as 同 other than that 𭕄 implies difference about mutable data.
zi
+
􏷆: the simplification version of 同.
zi
+
􏷈: almost same as 􏷆 other than that 米 implies difference about numbers.
zi

Examples:
> (同? (􏽀 #\a #\b #\c) (􏽀 #\a #\b #\c))

#t

> (同? (􏿴 1 2) (􏿴 1 2))

#t

> (同? (expt 2 100) (expt 2 100))

#t

Examples:
> (􏷇? (􏽀 #\a #\b #\b) (􏽀 #\a #\b #\b))

#f

> (􏷇? (􏽁 #\a #\b #\b) (􏽁 #\a #\b #\b))

#t

> (􏷇? (􏿴 1 2) (􏿴 1 2))

#t

> (􏷇? (expt 2 100) (expt 2 100))

#t

Examples:
> (􏷆? (􏽀 #\a #\b #\c) (􏽀 #\a #\b #\c))

#f

> (􏷆? (􏿴 1 2) (􏿴 1 2))

#f

> (􏷆? (expt 2 100) (expt 2 100))

#f

Examples:
> (􏷈? (􏽀 #\a #\b #\c) (􏽀 #\a #\b #\c))

#f

> (􏷈? (􏿴 1 2) (􏿴 1 2))

#f

> (􏷈? (expt 2 100) (expt 2 100))

#t

5.13.2 遍?🔗ℹ


+

Example:
> (遍 ([i (􏿴/数段* 1 5)])
        (行陈 i))

􏿴/数段*: undefined;

 cannot reference an identifier before its definition

  in module: top-level

composition

同? : 同 + ? = equal?

composition

􏷇? : 􏷇 + ? = equal-always?

composition

􏷈? : 􏷈 + ? = eqv?

composition

􏷆? : 􏷆 + ? = eq?

composition

格 : 格 = format

composition

写 : 写 = write

composition

行写 : 行 + 写 = writeln

composition

示 : 示 = print

composition

行示 : 行 + 示 = println

composition

陈 : 陈 = display

composition

行陈 : 行 + 陈 = displayln

composition

遍 : 遍 = for

composition

遍/􏿴 : 遍 + / + 􏿴 = for/list

composition

求 : 求 = eval

composition

无? : 无 + ? = void?

composition

无 : 无 = void

composition

山? : 山 + ? = immutable?

composition

报参错 : 报 + 参 + 错 = raise-argument-error

  top  contents    up   
 
\ No newline at end of file diff --git a/ming/racket_library_in_chinese.html b/ming/racket_library_in_chinese.html new file mode 100644 index 00000000..00cf6451 --- /dev/null +++ b/ming/racket_library_in_chinese.html @@ -0,0 +1,2 @@ + +5 Racket Libraries
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
8.13
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5 Racket Libraries🔗ℹ

 (require ming/racket/base) package: ming
Racket库的名语言汉化，汉化了的Racket内部库程序应都置于此。

    5.1 双 and 􏿴

      5.1.1 Naming Rules

      5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳

      5.1.3 阴阳+-

      5.1.4 􏿝, 􏿜

      5.1.5 攸

      5.1.6 􏼏, 􏼏*

      5.1.7 􏼓, 􏼎

      5.1.8 弔, 弓,弓*, 􏹂, 􏹂*

      5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓

      5.1.10 末, 􏹨

      5.1.11 巨

      5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?

      5.1.13 左􏸑, 左􏸒, 左􏸓

      5.1.14 𰂋，偏，􏾜，重、𠝤

      5.1.15 􏾛、𠆯

      5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇

      5.1.17 􏹈分，􏹈巨

      5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎

      5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘

      5.1.20 􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组

      5.1.21 ming/racket/base

      5.1.22 ming/racket/list

    5.2 􏻿

      5.2.1 Naming Rules

      5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?

      5.2.3 􏻺 􏻻 􏻹

      5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒

      5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並

      5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝

      5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇

      5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝

      5.2.9 基础例程

      5.2.10 额外例程

    5.3 􏿰

      5.3.1 例程命名规则

      5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉

      5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳

      5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?

      5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?

      5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘

      5.3.7 􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入

      5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰

      5.3.9 􏿰各、􏿰􏺆、􏿰佫

      5.3.10 􏿰􏺈仔?

      5.3.11 􏿰巨

      5.3.12 􏾑化

      5.3.13 基础例程

      5.3.14 额外例程

    5.4 字

      5.4.1 字，字?

      5.4.2 例程

    5.5 勺

      5.5.1 例程命名规则

      5.5.2 勺?、􏺏?、􏺋?，􏺌

      5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋

      5.5.4 基础例程

      5.5.5 额外例程

    5.6 勾

      5.6.1 例程命名规则

      5.6.2 勾?，勾化句、句化勾、勾化􏽁

      5.6.3 基础例程

      5.6.4 额外例程

    5.7 句

      5.7.1 例程命名规则

      5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?

      5.7.3 􏽁化，􏽀化

      5.7.4 􏼅，􏼄

      5.7.5 􏼃，􏼁，􏼂

      5.7.6 􏺕，􏼭，句􏾝

      5.7.7 􏼘，􏼘/以􏾝，􏼅𰅡

      5.7.8 􏼩、􏼪，􏼳、􏼲

      5.7.9 􏼥，􏼝，􏼛

      5.7.10 􏼹?，􏼸?，􏸶?

      5.7.11 􏺔，􏺓，􏺒

      5.7.12 基础例程

      5.7.13 额外例程

    5.8 米

      5.8.1 命名规则

      5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?

      5.8.3 常用概念：􏻴?，𥥪?

      5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?

      5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?

      5.8.6 组合表达：􏻲?，􏺡?

      5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘

      5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐

      5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句

      5.8.10 数的类型例程

      5.8.11 数的运算例程

    5.9 􏺃

      5.9.1 􏺃，卩?，􏺃?

      5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵

      5.9.3 转化：􏹲，􏹩，􏹴、􏹳

      5.9.4 基础例程

    5.10 Conditionals

      5.10.1 丫，􏸣、􏸟

      5.10.2 并、戈

      5.10.3 当、肖，夬

      5.10.4 非

      5.10.5 References

    5.11 並

      5.11.1 𰅰，並，𡌶

      5.11.2 References

    5.12 禾

      5.12.1 禾、禾?

      5.12.2 入、􏸗

      5.12.3 􏸛，􏸚

      5.12.4 􏸘

      5.12.5 Base References

      5.12.6 Additional References

    5.13 未分类

      5.13.1 同? 􏷇? 􏷆? 􏷈?

      5.13.2 遍?

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\ No newline at end of file diff --git a/ming/rainbow-delimiters.js b/ming/rainbow-delimiters.js new file mode 100644 index 00000000..6202d1eb --- /dev/null +++ b/ming/rainbow-delimiters.js @@ -0,0 +1,192 @@ +console.log("Loading scribble-rainbow-delimiters..."); +console.log("jQuery-" + jQuery().jquery); + +// const colors = [ +// "darkred", +// "#b16286", +// "IndianRed", +// "#7e5e60", +// "#FF1493" +// ] +const colors = [ + "DarkRed", + "firebrick", + "IndianRed", + "LightCoral", + "Salmon", + "DarkSalmon", + "LightSalmon" +] + + +// file:///Applications/Racket%20v8.0/doc/scribble/builtin-css.html?q=elem +const RDBlocks = [ + ".SCodeFlow", + "blockquote.SVInsetFlow" +] + +function getRandomStr() { + return Math.floor(Math.random() * 10000).toString(); +} +function hex(x) { + return ("0" + parseInt(x).toString(16)).slice(-2); +} +function rgb2hex(str) { + rgb = str.match(/^rgb\((\d+),\s*(\d+),\s*(\d+)\)$/); + if (rgb === null) { + return str; + } else { + return "#" + hex(rgb[1]) + hex(rgb[2]) + hex(rgb[3]); + } +} + +function colorizing(RDBlock) { + $(RDBlock).each(function(i) { + if (this.classList.contains("rd-colorized")) { return false; } + if ($(this).find("span.rd-bracket").length) { return false; } + // if (this.innerHTML.match(/(\(|\)|\[|\]|\{|\})/)) { debugger; } + $(this).find("span").each(function(i) { + if (this.innerText.match(/(\(|\)|\[|\]|\{|\})/g)) { + this.innerHTML = this.innerHTML.replace(/(\(|\)|\[|\]|\{|\})/g, function(str) { + return `${str}`; + }); + } + }); + + $(this).addClass("rd-colorized"); + }) + + let recordDepth = 0; + let randomId; + let randomIdds = []; + $(RDBlock).find("span.rd-bracket").each(function(i) { + if (this.className.includes("rd-id-")) { return false; } + if (recordDepth == 0) { randomId = getRandomStr(); } + + if (["(", "[", "{"].includes(this.textContent)) { + let color; + if ($(this).parent()[0].className === "RktVal") { + color = "#228b22"; + } else if ($(this).parent()[0].className === "RktRes") { + color = "#0000af"; + } else if ($(this).parent()[0].className === "RktOpt") { + color = "black"; + } else if ($(this).parent()[0].className === "RktErr") { + color = "red"; + } else { + color = colors[recordDepth % colors.length]; + }; + + let idd = getRandomStr(); randomIdds.push(idd); + $(this).css("color", color); + this.classList.add(`rd-id-${randomId}`); + this.classList.add(`rd-idd-${idd}`); + this.classList.add(`rd-depth-${recordDepth}`); + // this.title = `rd-bk-id/depth: ${randomId}/${recordDepth}` + recordDepth++; + // $(this).css("font-weight", "bolder"); + } + + if ([")", "]", "}"].includes(this.textContent)) { + recordDepth--; + + let color; + if ($(this).parent()[0].className === "RktVal") { + color = "#228b22"; + } else if ($(this).parent()[0].className === "RktRes") { + color = "#0000af"; + } else if ($(this).parent()[0].className === "RktErr") { + color = "red"; + } else { + color = colors[recordDepth % colors.length]; + }; + + let idd = randomIdds.pop(); + $(this).css("color", color); + this.classList.add(`rd-id-${randomId}`); + this.classList.add(`rd-idd-${idd}`); + this.classList.add(`rd-depth-${recordDepth}`); + // this.title = `rd-bk-id/depth: ${randomId}/${recordDepth}` + } + }); +} + +function findClosestElms(elm) { + let matchingStr = elm.textContent; + let matchingArr; + switch(matchingStr) { + case '(': + case ')': + matchingArr = ['(', ')']; + break; + case '[': + case ']': + matchingArr = ['[', ']']; + break; + case '{': + case '}': + matchingArr = ['{', '}']; + break; + } + + let classNames = elm.className.split(" "); + let rdDepth = classNames.find(function(e) { return e.startsWith("rd-depth-") }); + let depthNum = rdDepth.split("-").pop(); + let rdId = classNames.find(function(e) { return e.startsWith("rd-id-") }); + let rdIdd = classNames.find(function(e) { return e.startsWith("rd-idd-") }); + let parentElm = elm.closest(".rd-colorized").parentElement; + let cousinElms = $(parentElm).find(`span.${rdDepth}.${rdId}`).not(`span.${rdIdd}`).filter(function(ii) { + return matchingArr.includes(this.textContent); + }); + let brotherElms = $(parentElm).find(`span.${rdDepth}.${rdId}.${rdIdd}`).filter(function(ii) { + return matchingArr.includes(this.textContent); + }); + return [ brotherElms, cousinElms ]; +} + +/////// actions ///////// +handler = function main() { + // highlight jumping + $(`a[name="${decodeURIComponent(location.hash.substr(1))}"]`).parent().css("background", "lightyellow"); + $(`a[name="${decodeURIComponent(location.hash.substr(1))}"]`).next().css("background", "yellow"); + $(window).on("hashchange", function() { + oldURL = new URL(event.oldURL); + newURL = new URL(event.newURL); + oldHash = oldURL.hash.substr(1); + newHash = newURL.hash.substr(1); + oldHashDecoded = decodeURIComponent(oldHash); + newHashDecoded = decodeURIComponent(newHash); + console.log(newHashDecoded); + $(`a[name="${oldHashDecoded}"]`).parent().css("background", "transparent"); + $(`a[name="${oldHashDecoded}"]`).next().css("background", "transparent"); + $(`a[name="${newHashDecoded}"]`).parent().css("background", "lightyellow"); + $(`a[name="${newHashDecoded}"]`).next().css("background", "yellow"); + }); + + RDBlocks.forEach(function(e) { + if ($(e).length) { colorizing(e); } + }); + + $("span.rd-bracket").mouseover(function(i) { + console.log(this.classList); + let color = rgb2hex(this.style.color); + if (color == "white") { return false }; + if (!color.length) { return console.log(`mouseover on an unexpected rd-bracket element: ${this.outerHTML}`); } + [ brotherElms, cousinElms ] = findClosestElms(this); + brotherElms.css("color", "white"); + brotherElms.css("background", color); + cousinElms.css("background", "#E0E0E0"); // whitesmoke gainsboro + }); + + $("span.rd-bracket").mouseleave(function(i) { + let color = rgb2hex(this.style.backgroundColor); + if (color == "transparent") { return false }; + if (!color.length) { return console.log(`mouseleave on an unexpected rd-bracket element: ${this.outerHTML}`); } + [ brotherElms, cousinElms ] = findClosestElms(this); + brotherElms.css("color", color); + brotherElms.css("background", "transparent"); + cousinElms.css("background", "transparent"); + }); +} + +$(document).ready(function() { $( handler ); }); diff --git a/ming/rationle.html b/ming/rationle.html new file mode 100644 index 00000000..1ab7d927 --- /dev/null +++ b/ming/rationle.html @@ -0,0 +1,3 @@ + +1 Rationale
▼Ming Language
►1 Rationale
On this page:
1.1 Lisp and its parenthsis
1.2 Chineseoid characters
1.3 Character implications
8.13
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1 Rationale🔗ℹ

ref to: http://www.yanying.wang/SOICOL

1.1 Lisp and its parenthsis🔗ℹ

Lisp, as an ancient programming language, when I was learning it with inherent ideas from modern programming languages such as Ruby, I noticed there are a few distinctions. Among them, The most prominent one is the form.

LISP is highly flat in forms, all are parenthesis. On the contrary, most modern PLs adhere to use different forms for different operations: +

Operation

Ruby code

Racket code

number addition

1+2+3

(+ 1 2 3)

create array

[1, 2, 3]

(vector 1 2 3)

create hash

{a: 1, b: 2, c: 3}

(hash 'a 1 'b 2)

create array of a range of numbers

Array(1..5)

(build-list 5 values)

create array of duplication elements

Array.new(3, 1)

(make-list 3 1)

By the examples above, we can see in Ruby, different operations are wrote in distinctive forms, but in Racket they are in same form: elements in one parenthesis. This each other resembled form of LISP impedes people differentiate them on a glimpse, therefore, the meaning of operations are more blamed on the function names(first word of elements in parenthesis).

In conclusion, the function names of LISP take more responsibilities to annotate various operations than modern PLs. The more informations that function names show to us, the better we can distinguish them and understand the purpose and usage of them.

1.2 Chineseoid characters🔗ℹ

Compare to English, of which the writing is based on the pronounciation of speaking, Chinese contrarily emphasize its writing more than speaking, which has actually developed a way to write related objects and concepts, we call it LiuShu(六书).

With the fact that chinese characters are just the implementation of using LiuShu for the communication of human, what I am doing here is using it to invent and design lots of chinese resembled characters, where we draw the phrase chineseoid characters, which especially is also called zi, means looking like chinese characters but can not be recognized by most Chinese people.

At last, we use those characters instead of common English words for the concepts of Lisp and even the whole programming language world to make human interact better with it.

Ming code

Racket code

(双 'a 'b)

(cons 'a 'b)

(􏿴 'a 'b 'c 'd)

(list 'a 'b 'c 'd)

(􏿝 '(1) '(2) '(3 4) '(5 6))

(append '(1) '(2) '(3 4) '(5 6))

(􏿜 '(1) '(2) '(3 4) '((5 6)))

(append* '(1) '(2) '(3 4) '((5 6)))

(􏼓 6 'foo)

(make-list 6 'foo)

(􏼎 10 並)

(build-list 10 values)

(弓 '(a b c d e c f) 'c)

(index-of '(a b c d e c f) 'c)

(􏼏 10)

(range 10)

(􏻿 'a 'b 'c 'd)

(vector 'a 'b 'c 'd)

(􏿰 'a 'b 'c 'd)

(hash 'a 'b 'c 'd)

As chart shown above, the keywords of Ming are much short in length, and in forms the complex characters are usually constituted by other simpler characters, and those simpler characters are usually used for related function names as well.

Further more, the connotations behind the characters work the same way, they are related to each other and complex concepts are broke to simple concepts as well.

Most importantly, the chineseoid characters implemented here also have the ability to imply to human about the arguments and results of functions, check Naming Rules for more.

1.3 Character implications🔗ℹ

Since the chineseoid chracters are much complicated than general western characters, there are few terminologies we need to know in advance: radical, component, part(check the wiktionary page for details).

Simply put it, phrase is composed by more than one characters, character is composed by more than on parts. For the parts of an specific character, only one of them can be counted as radical, which usually is another standalone character that provides the basic meaning for the specific character, and the other one can be counted as component, which usually implies the difference(type of input, type of output, etc.) between the meaning of radical and the specific character.

Take example of the procedure 伄, this character is composed of two parts: 亻 as component and 弔 as radical. By composition, we can deduce that this procedure has a similar usage as 弔 since it is the radical. And the 亻 additionally means the type of output data is list(read Naming Rules for more).

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\ No newline at end of file diff --git a/ming/stamp.sxref b/ming/stamp.sxref new file mode 100644 index 00000000..226b7e49 --- /dev/null +++ b/ming/stamp.sxref @@ -0,0 +1 @@ +("4ecdf4be1144e0b0e3d9050b72ac8afc9582623e008751f3e4240c0f8ef61b3cb6824f1dffbad575" "2732e0c45aebdd509bb5f92a9fea0166dca7d39c66675998d9c3706f09788caab003a350a92d8a03" "986c8dea75d817a37349c1f0c4a180e86830f940") \ No newline at end of file diff --git a/ming/startup.html b/ming/startup.html new file mode 100644 index 00000000..8acd591a --- /dev/null +++ b/ming/startup.html @@ -0,0 +1,5 @@ + +2 Startup
▼Ming Language
►2 Startup
On this page:
2.1 Fonts and Input method
2.2 Code highlight for Emacs editor
2.3 GGFSM
8.13
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2 Startup🔗ℹ

2.1 Fonts and Input method🔗ℹ

To make Ming-Language work, we have two major things need to do: +

  1. to show chineseoid characters, install cangjie font to your OS；

  2. to input chineseoid characters, install rime input method and use asdfzma scheme;(check rime_custom for an out-of-the-box config)

2.2 Code highlight for Emacs editor🔗ℹ

git clone https://github.com/yanyingwang/racket-mode-for-ming and then add below code： +
(use-package racket-mode
  :load-path "your-cloned-code-dir/racket-mode-for-ming"
)

2.3 GGFSM🔗ℹ

As a demonstation, GGFSM is a website draw gua graph for stocks, most code of this project are wrote in the Ming-Lang flavor: +https://github.com/yanyingwang/ggfsm

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\ No newline at end of file diff --git a/ming/string.html b/ming/string.html new file mode 100644 index 00000000..f95aede6 --- /dev/null +++ b/ming/string.html @@ -0,0 +1,36 @@ + +5.7 句
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.7 句
On this page:
5.7.1 例程命名规则
5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?
5.7.3 􏽁化，􏽀化
5.7.4 􏼅，􏼄
5.7.5 􏼃，􏼁，􏼂
5.7.6 􏺕，􏼭，句􏾝
5.7.7 􏼘，􏼘/  以􏾝，􏼅𰅡
5.7.8 􏼩、􏼪，􏼳、􏼲
5.7.9 􏼥，􏼝，􏼛
5.7.10 􏼹?，􏼸?，􏸶?
5.7.11 􏺔，􏺓，􏺒
5.7.12 基础例程
句?
句
􏼅
􏽁化
􏺕
􏼭
􏼘
句􏾝
􏽀化
􏼘/  以􏾝
􏼅𰅡
􏼃
􏼁
􏼳
􏼲
􏼄
句=?
句<?
句<=?
句>?
句>=?
句ci=?
句ci<?
句ci<=?
句ci>?
句ci>=?
􏺔
􏺓
􏺒
􏺓*
5.7.13 额外例程
􏼂
􏼪
􏼩
􏼛
􏼥
􏼝
􏼟?
􏸶?
􏼹?
􏼸?
8.13
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5.7 句🔗ℹ

另见名扩展库：句

“句”（String）就是通常所说的“字符串”数据结构，名语言用单字表示之称为“句”。

5.7.1 例程命名规则🔗ℹ

见Naming Rules，有：

规则

指示

含义

举例

下偏旁句

指示出参

出参是句结构

句、􏽀、􏼅、􏼄、􏼃、􏼂

右偏旁句

指示出参

出参是句结构

􏼪、􏼲

左偏旁句

指示入参

入参是句结构

􏺕、􏼭、􏼩、􏼳、􏼥、􏼝、􏼛、􏺔、􏺓、􏺒

5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?🔗ℹ


+

句为活用字
+􏽁为新造字
+􏽀为新造字 +

  • 勹：工厂、容器、外壳；（勹是丩的增笔，有扭曲盘勾之意思）

  • 口：无实意，代表"数据内容"；

  • 山：稳定的、内容不变的（因为“山”是稳定的，见：􏽁?）；

  • 氵：易动的、内容可变的（因为“水”是易变的，见：􏽀?）；

  • 上下结构的穴+非：非空。

参见：􏻼、􏻽

另见：勺、勾，􏻷?

像􏻿和􏿰一样，“句”按内容是否可以被修改，也可以被分为：“易句”和“固句”（简写为“􏽁”和“􏽀”）。句默认创建的是“􏽀”，通过英文双引号（""）创建的则是“􏽁”。 +

Examples:
> (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。)

"鹅鹅鹅，曲项向天歌。"

> (句? (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

#t

> (􏽀? (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

#t

> (􏽁? (􏽁 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

#t

> (􏽁? "鹅鹅鹅，曲项向天歌。")

#t

> (句? "鹅鹅鹅，曲项向天歌。")

#t

> (􏼟? "鹅鹅鹅")

#t

> (􏼟? "")

#f

5.7.3 􏽁化，􏽀化🔗ℹ


+

Examples:
> (􏽁? (􏽁化 (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。)))

#t

> (􏽀? (􏽀化 "鹅鹅鹅，曲项向天歌。"))

#t

5.7.4 􏼅，􏼄🔗ℹ


+

􏼅为新造字
+􏼄为新造字

参见：􏼓，􏼎。

Examples:
> (􏼅 5 #\鹅)

"鹅鹅鹅鹅鹅"

> (􏼄 5 数化字)

"\u0000\u0001\u0002\u0003\u0004"

5.7.5 􏼃，􏼁，􏼂🔗ℹ


+

􏼃为新造字
+􏼂为新造字
+􏼁为新造字 +

  • 申：“贯穿”的意思；

  • 山：见：􏽁；

  • 毌+又：“贯穿”的意思，且末尾数据是􏿴。

参见：􏼓，􏼎。

Examples:
> (􏼃 "AAA" "BBB" "CCC")

"AAABBBCCC"

> (􏼁 "AAA" "BBB" "CCC")

"AAABBBCCC"

> (􏼂 "AAA" "BBB" '("CCC" "DDD"))

"AAABBBCCCDDD"

> (􏽁? (􏼃 "AAA" "BBB" "CCC"))

#f

> (􏽁? (􏼁 "AAA" "BBB" "CCC"))

#t

> (􏽁? (􏼂 "AAA" "BBB" '("CCC" "DDD")))

#f

5.7.6 􏺕，􏼭，句􏾝🔗ℹ


+

􏺕为新造字
+􏼭为新造字
+

  • 巨：“测量长度”的意思，参见：巨；

  • 弔：“第”的意思，参见：弔；

参见：巨，弔，􏾝，􏻿􏾝

Examples:
> (􏺕 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。")

22

> (􏼭 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" 3)

#\，

> (句􏾝 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" 3)

"，曲项向天歌。白毛浮绿水，红掌拨清波。"

> (句􏾝 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" 3 8)

"，曲项向天"

5.7.7 􏼘，􏼘/以􏾝，􏼅𰅡🔗ℹ


+

􏼘为新造字
+𰅡为古活字
+

  • 扌：“!”的意思；

另见：􏼅

参见：攸、􏻿􏾩、􏿰􏾩，􏻿􏾩/以􏾝

Examples:
> (名 str (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))
> (􏼘 str 1 #\白)
> str

"鹅白鹅，曲项向天歌。"

> (􏼘/以􏾝 str 0 "ABCDEFG" 2 4)
> str

"CD鹅，曲项向天歌。"

> (􏼅𰅡 str #\Z)
> str

"ZZZZZZZZZZ"

5.7.8 􏼩、􏼪，􏼳、􏼲🔗ℹ


+

􏼩为新造字
+􏼪为新造字
+􏼳为新造字
+􏼲为新造字 +

  • 子：字的简写（见：字）；

  • 上下结构的又+㐅：􏿴；

  • 上下结构的又+子：组成元素是“字”的􏿴；

  • 􏼩：把句转化为􏿴；

  • 􏼳：把句转化为组成元素是字的􏿴；

  • 􏼪：把􏿴转化为句；

  • 􏼲：把组成元素是字的􏿴转化为句。

Examples:
> (􏼪 '("鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌"))

"鹅 鹅 鹅 ， 曲 项 向 天 歌"

> (􏼪 '("鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌") "")

"鹅鹅鹅，曲项向天歌"

> (􏼪 '("鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌") "-")

"鹅-鹅-鹅-，-曲-项-向-天-歌"

> (􏼩 "鹅鹅鹅，曲项向天歌")

'("鹅鹅鹅，曲项向天歌")

> (􏼩 "鹅鹅鹅，曲项向天歌" "")

'("" "鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌" "")

> (􏼩 "鹅鹅鹅，曲项向天歌" "，")

'("鹅鹅鹅" "曲项向天歌")

> (􏼩 "鹅-鹅-鹅-曲-项-向-天-歌" "-")

'("鹅" "鹅" "鹅" "曲" "项" "向" "天" "歌")

> (􏼲 '(#\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

"鹅鹅鹅，曲项向天歌。"

> (􏼳 "鹅鹅鹅，曲项向天歌。")

'(#\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。)

5.7.9 􏼥，􏼝，􏼛🔗ℹ


+

􏼥为新造字
+􏼝为新造字
+􏼛为新造字 +

  • 戈：本意是“兵器”，引申为“修改、替换”之意；

  • 匕：本意是“匕首”，引申为“修剪、删除”之意；

  • 穴：空的简写；

  • 上下结构的丷+匕：修剪起始处和结尾处；

  • 上下结构的穴+一：将相连的多个空格单一化成一个。

Examples:
> (􏼥 "鹅鹅鹅，曲项向天歌。" "鹅鹅鹅" "小黄鸭")

"小黄鸭，曲项向天歌。"

> (􏼥 "鹅鹅鹅，曲项向天歌。" "鹅" "")

"，曲项向天歌。"

> (􏼥 "\n\r鹅鹅鹅，\n\r曲项向天歌。\n\r\n\r" "\n\r" "")

"鹅鹅鹅，曲项向天歌。"

> (􏼝 "\n\r鹅鹅鹅，\n\r曲项向天歌。\n\r\n\r")

"鹅鹅鹅，\n\r曲项向天歌。"

> (􏼝 "鹅鹅鹅，曲项向天歌。" "鹅鹅鹅")

"，曲项向天歌。"

> (􏼛 "鹅  鹅    鹅   \n \n 曲项向天歌 \n\r")

"鹅 鹅 鹅 曲项向天歌"

5.7.10 􏼹?，􏼸?，􏸶?🔗ℹ


+

􏼹为新造字
+􏼸为新造字
+

  • 本：本意是“树根”，在此引申为“起始、开头”之意；

  • 末：本意是“树梢”，在此引申为“结尾、末尾”之意；

  • 干：本意是“枝干”，在此引申为“中间、包含”之意；

Examples:
> (􏼹? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "鹅鹅鹅")

#t

> (􏼸? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "拨清波。")

#t

> (􏸶? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "鹅鹅鹅")

#t

> (􏸶? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "拨清波。")

#t

> (􏸶? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "白毛")

#t

5.7.11 􏺔，􏺓，􏺒🔗ℹ


+

􏺔为新造字
+􏺓为新造字
+􏺒为新造字 +

  • 与：写的简写；

Examples:
> (􏺔 "string upper case")

"STRING UPPER CASE"

> (􏺓 "string lower case")

"string lower case"

> (􏺒 "string title case")

"String Title Case"

5.7.12 基础例程🔗ℹ

composition

句? : 句 + ? = string?

composition

句 :  = string

composition

􏼅 : elem + 构造内容是若干个相同元素的 + needtofix = make-string

composition

􏽁化 : elem + 把 + needtofix + 转变为 + needtofix

 = string->immutable-string

composition

􏺕 :  = string-length

composition

􏼭 :  = string-ref

composition

􏼘 : elem + 直接修改原始数据第N处字（从0算起）为某字 = string-set!

composition

句􏾝 : elem + 返回句第N到M处内容组成的 + needtofix = substring

composition

􏽀化 : elem + 把 + needtofix + 转化为 + needtofix = string-copy

composition

􏼘/以􏾝 : elem + 从第N处字（从0算起）开始做覆盖（以另一个句的 + needtofix + 结果为内容）

 = string-copy!

composition

􏼅𰅡 :  = string-fill!

composition

􏼃 : elem + 把很多句连成一个 + needtofix = string-append

composition

􏼁 : elem + 把很多句连成一个 + needtofix = string-append-immutable

composition

􏼳

 : elem + 句化字􏿴：把 + needtofix + 转化为 + needtofix + （由 + needtofix + 组成）
 = string->list

composition

􏼲

 : elem + 字􏿴化句：把 + needtofix + （由 + needtofix + 组成）转化为 + needtofix
 = list->string

composition

􏼄 : elem + 构造内容是一系列序数转化成 + needtofix + 所组成的 + needtofix

 = build-string

composition

句=? : 句 + = + ? = string=?

composition

句<? : 句 + < + ? = string<?

composition

句<=? : 句 + < + = + ? = string<=?

composition

句>? : 句 + > + ? = string>?

composition

句>=? : 句 + > + = + ? = string>=?

composition

句ci=? : 句 + c + i + = + ? = string-ci=?

composition

句ci<? : 句 + c + i + < + ? = string-ci<?

composition

句ci<=? : 句 + c + i + < + = + ? = string-ci<=?

composition

句ci>? : 句 + c + i + > + ? = string-ci>?

composition

句ci>=? : 句 + c + i + > + = + ? = string-ci>=?

composition

􏺔 : elem + 将句大写化 = string-upcase

composition

􏺓 : elem + 将句小写化 = string-downcase

composition

􏺒 : elem + 将句中单词首字母大写化其余小写化 = string-titlecase

composition

􏺓* : elem + 将句中单词做CaseFolding处理 = string-foldcase

 (require ming/racket/base) package: ming

5.7.13 额外例程🔗ℹ

 (require ming/racket/string) package: ming

composition

􏼂 : elem + 类 + needtofix + ，不过最后一个句是 + needtofix

 = string-append*

composition

􏼪 :  = string-join

composition

􏼩 :  = string-split

composition

􏼛 :  = string-normalize-spaces

composition

􏼥 :  = string-replace

composition

􏼝 : elem + 修剪句 = string-trim

composition

􏼟? : elem + 非空句? = non-empty-string?

composition

􏸶? : elem + 某句是否是某句中间的一部分 = string-contains?

composition

􏼹? : elem + 某句是否是某句起头的一部分 = string-prefix?

composition

􏼸? : elem + 某句是否是某句末尾的一部分 = string-suffix?

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\ No newline at end of file diff --git a/ming/symbols.html b/ming/symbols.html new file mode 100644 index 00000000..99c7fe30 --- /dev/null +++ b/ming/symbols.html @@ -0,0 +1,8 @@ + +5.5 勺
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.5 勺
On this page:
5.5.1 例程命名规则
5.5.2 勺?、􏺏?、􏺋?，􏺌
5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋
5.5.4 基础例程
勺?
􏺏?
􏺋?
勺化句
句化勺
句化􏺍
句化􏺋
􏺌
5.5.5 额外例程
勺化􏽁
8.13
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5.5 勺🔗ℹ

“勺”（symbols）是一种跟句类似的数据结构，但是它更广泛的在Racket语言的内部实现中被使用。

5.5.1 例程命名规则🔗ℹ

见Naming Rules中关于化和土的条目。

5.5.2 勺?、􏺏?、􏺋?，􏺌🔗ℹ


+

勺为古活字
+􏺋为新造字
+􏺍为新造字 +

  • 勹：工厂、容器、外壳；

  • 一：数据内容；

  • 罒：目；

  • 曰：不可读的（仿罒得造）；

  • 由：自由的；

  • 勺：因为外形和勾、句相近，在此借用为表示勺是和它们相近的一种数据结构；

“勺”可以被细分为：“􏺏”（interned）、“􏺋”（unreadable/partially interned）、“􏺍”（uninterned）。 +

Examples:
> (勺? 'symbol)

#t

> (􏺏? 'symbol)

#t

> (􏺋? 'symbol)

#f

> (􏺌 'symbol)

'symbol42961

> (􏺏? (􏺌 'symbol))

#f

5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋🔗ℹ


+

Examples:
> (勺化􏽁 'symbol)

"symbol"

> (勺化句 'symbol)

"symbol"

> (句化勺 "string")

'string

> (句化􏺍 "string")

'string

> (句化􏺋 "string")

'string

5.5.4 基础例程🔗ℹ

 (require ming/racket/base) package: ming

composition

勺? :  = symbol?

composition

􏺏? :  = symbol-interned?

composition

􏺋? :  = symbol-unreadable?

composition

勺化句 :  = symbol->string

composition

句化勺 :  = string->symbol

composition

句化􏺍 :  = string->uninterned-symbol

composition

句化􏺋 :  = string->unreadable-symbol

composition

􏺌 :  = gensym

5.5.5 额外例程🔗ℹ

 (require ming/racket/symbol) package: ming

composition

勺化􏽁 :  = symbol->immutable-string

  top  contents    up   
 
\ No newline at end of file diff --git a/ming/synced.rktd b/ming/synced.rktd new file mode 100644 index 00000000..e69de29b diff --git a/ming/syntax.html b/ming/syntax.html new file mode 100644 index 00000000..d69e0752 --- /dev/null +++ b/ming/syntax.html @@ -0,0 +1,18 @@ + +5.9 􏺃
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.9 􏺃
On this page:
5.9.1 􏺃，卩?，􏺃?
5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵
5.9.3 转化：􏹲，􏹩，􏹴、􏹳
5.9.4 基础例程
􏺃
􏺃?
卩?
􏹷
􏹸
􏹹
􏹾
􏹵
?syntax-original?
?􏺃司
􏹲
􏹩
􏹴
􏹳
?syntax-binding-set?
?syntax-binding-set
?syntax-binding-set->syntax
?syntax-binding-set-extend
?datum-intern-literal
?syntax-shift-phase-level
?generate-temporaries
?identifier-prune-lexical-context
?identifier-prune-to-source-module
?syntax-recertify
?syntax-debug-info
8.13
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5.9 􏺃🔗ℹ

“􏺃”（syntax object）是Racket编程语言构建其语言的基石。

5.9.1 􏺃，卩?，􏺃?🔗ℹ


+“􏺃”其实就是通俗意义上的“代码”，而“代码”究其本质而言是封装了“词法信息”和“位置信息”的“数据”。“卩”（identifier）可以看作是“􏺃”的极简单特例。

卩为古活字
+􏺃为新造字
+

  • 卩：节的古字，本意是“瑞信，古代出使等用作凭证之物”，引申为“语法，包含了上下文信息的数据”；

  • 厂：工厂，容器，内容。

Examples:
> (􏺃? #'(+ 1 2))

#t

> (􏺃? #'(+ 1 2))

#t

> (􏺃? #'1)

#t

> (卩? #'1)

#f

5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵🔗ℹ


+“􏺃”中的“位置信息”我们用单字“元”来表示，“元”包括：“􏹷”（地址）、“􏹾”（位置）、“􏹹”（经度（第几行））、“􏹸”（纬度（第几列））、“􏹵”（所占用的空间（长度））。 +

􏹷为新造字
+􏹹为新造字
+􏹸为新造字
+􏹾为新造字
+􏹵为新造字
+

  • 止：本意是“足”，在此为“地址”的意思；

  • 􏹹：第几列，仿经字得造；

  • 􏹸：第几行，仿纬字得造；

  • 􏹾：第几位；

Examples:
> (􏹷 #'a)

'eval

> (􏹹 #'a)

0

> (􏹸 #'a)

3

> (􏹾 #'a)

4

> (􏹵 #'a)

1

5.9.3 转化：􏹲，􏹩，􏹴、􏹳🔗ℹ


+“数据”我们用单字“文”来表示，此如􏿴?、􏻿?、􏿰?、句?、勺?等数据结构所构造出的数据都是“文”。 “文”添加上“词法信息”和“位置信息”就组成了“􏺃”，而“􏺃”剥离掉“词法信息”和“位置信息”就余下“文”了。 +

􏹲为新造字
+􏹩为新造字
+􏹴为新造字
+􏹳为新造字
+

  • 􏹲：􏺃+解各取偏旁得造；

  • 􏹩：􏺃+􏿴各取偏旁得造；

  • 􏹴：􏺃+文各取偏旁得造；

  • 􏹴：文+􏺃各取偏旁得造；

另见：􏼩、􏼳、􏼪、􏼲

Examples:
> (􏹲 #'a)

'a

> (􏹲 #'(a b c))

'(#<syntax:eval:2:0 a> #<syntax:eval:2:0 b> #<syntax:eval:2:0 c>)

> (􏹩 #'(a b c))

'(#<syntax:eval:3:0 a> #<syntax:eval:3:0 b> #<syntax:eval:3:0 c>)

> (􏹴 #'(a b c))

'(a b c)

> (􏹳 #f '(a b c))

#<syntax (a b c)>

5.9.4 基础例程🔗ℹ

 (require ming/racket/base) package: ming

composition

􏺃 : elem + 生成代码 = syntax

composition

􏺃? : elem + 代码（包含了词法信息和位置信息的数据） = syntax?

composition

卩? : 卩 + ? = identifier?

composition

􏹷 : elem + 地址，比如是文件路径 = syntax-source

composition

􏹸 : elem + 所在文件的具体哪一行（纬是横向的，参见“纬线”一词） = syntax-line

composition

􏹹 : elem + 所在文件的具体哪一列（经是竖向的，参见“经线”一词） = syntax-column

composition

􏹾 : elem + 所在文件的第几位 = syntax-position

composition

􏹵 : elem + 所占用的长度（从0算起） = syntax-span

composition

?syntax-original?

 : ? + s + y + n + t + a + x + - + o + r + i + g + i + n + a + l + ?
 = syntax-original?

composition

?􏺃司 : ? + 􏺃 + 司 = syntax-source-module

composition

􏹲 : elem + 以解开􏺃的方式转化成文（（原料数据）） = syntax-e

composition

􏹩 : elem + 􏺃化􏿴 = syntax->list

composition

􏹴 : elem + 􏺃化文（将􏺃转化成文（原料数据）） = syntax->datum

composition

􏹳 : elem + 文化􏺃 = datum->syntax

composition

?syntax-binding-set?

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t + ?
 = syntax-binding-set?

composition

?syntax-binding-set

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t
 = syntax-binding-set

composition

?syntax-binding-set->syntax

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t + - + > + s + y + n + t + a + x
 = syntax-binding-set->syntax

composition

?syntax-binding-set-extend

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t + - + e + x + t + e + n + d
 = syntax-binding-set-extend

composition

?datum-intern-literal

 : ? + d + a + t + u + m + - + i + n + t + e + r + n + - + l + i + t + e + r + a + l
 = datum-intern-literal

composition

?syntax-shift-phase-level

 : ? + s + y + n + t + a + x + - + s + h + i + f + t + - + p + h + a + s + e + - + l + e + v + e + l
 = syntax-shift-phase-level

composition

?generate-temporaries

 : ? + g + e + n + e + r + a + t + e + - + t + e + m + p + o + r + a + r + i + e + s
 = generate-temporaries

composition

?identifier-prune-lexical-context

 : ? + i + d + e + n + t + i + f + i + e + r + - + p + r + u + n + e + - + l + e + x + i + c + a + l + - + c + o + n + t + e + x + t
 = identifier-prune-lexical-context

composition

?identifier-prune-to-source-module

 : ? + i + d + e + n + t + i + f + i + e + r + - + p + r + u + n + e + - + t + o + - + s + o + u + r + c + e + - + m + o + d + u + l + e
 = identifier-prune-to-source-module

composition

?syntax-recertify

 : ? + s + y + n + t + a + x + - + r + e + c + e + r + t + i + f + y
 = syntax-recertify

composition

?syntax-debug-info

 : ? + s + y + n + t + a + x + - + d + e + b + u + g + - + i + n + f + o
 = syntax-debug-info

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\ No newline at end of file diff --git a/ming/values.html b/ming/values.html new file mode 100644 index 00000000..3cc0e47f --- /dev/null +++ b/ming/values.html @@ -0,0 +1,2 @@ + +5.11 並
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.11 並
On this page:
5.11.1 𰅰，並，𡌶
5.11.2 References
並
𡌶0
􏸾
􏸽
8.13
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5.11 並🔗ℹ

Racket’s value is especially called 𰅰 in ming-lang.

Racket’s Multiple Values is especially called 並 in ming-lang.

5.11.1 𰅰，並，𡌶🔗ℹ

🐘 􏸾、􏸽

  • 𰅰: simplifies for 值, which means value in modern chinese.
    zi

  • 並: simplifies for 竝 in ancient chinese, means two or more than two objects as a whole, especially means multiple values in ming-lang. (Not confuse with 并).
    zi

Examples:
> (並 1 2 3 4)

1

2

3

4

> (𡌶 􏿴 (􏸧 (並 1 2 3 4)))

'(1 2 3 4)

5.11.2 References🔗ℹ

 (require ming/racket/base) package: ming

composition

並 : 並 = values

composition

𡌶0 : 𡌶 + 0 = call-with-values

composition

􏸾 : elem + needtofix + + + needtofix = define-values

composition

􏸽 : elem + needtofix + + + needtofix = let-values

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\ No newline at end of file diff --git a/ming/vector.html b/ming/vector.html new file mode 100644 index 00000000..79e00507 --- /dev/null +++ b/ming/vector.html @@ -0,0 +1,7 @@ + +5.2 􏻿
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.2 􏻿
On this page:
5.2.1 Naming Rules
5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?
5.2.3 􏻺 􏻻 􏻹
5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒
5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並
5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝
5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇
5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/  以􏾝
5.2.9 基础例程
􏻿
􏻿?
􏻺
􏻼
􏻿巨
􏻿弔
􏻿􏾩
􏻿化􏿴
􏿴化􏻿
􏻼化
􏻺𰅡
􏻿𢪛/  以􏾝
􏻿􏾝化並
􏻻
5.2.10 额外例程
􏻸?
􏻿𢪛
􏻿􏷑
􏻿􏷉
􏻹
􏻿􏾺
􏻿𨚞
􏻿􏷵
􏻿􏷴
􏻿􏸄
􏻿􏸃
􏻿􏾝
􏻿􏹈
􏻿􏹇
􏻿􏹈巨
􏻿􏷑􏺗
􏻿􏷑􏺘
􏻿弓
􏻿弓/  􏾗
􏻿弓/  􏾃
􏻿𠆯
􏻿􏽒
8.13
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5.2 􏻿🔗ℹ

Originates from Vectors and Extends to 􏻿.

5.2.1 Naming Rules🔗ℹ

To extend Naming Rules, specifically there are：

Character

Connotation

Elucidation

Example

扌 as component

direct modification

directly modify the orignal data and return void

􏻿􏾩 􏻿􏽒 􏻿􏷉

Phrase

–

–

–

prefixed with 􏻿

􏻿 as input

implies the type of input data is 􏻿

􏻿巨 􏻿弔 􏻿𠆯

suffixed with 化

minor type convertion

implies slightly convert the type of input data, i.e. from mutable to immutable.

􏻼化

inserted with 化

type convertion

implies convert the type of input data, i.e. from 􏻿 to 􏿴.

􏻿化􏿴 􏿴化􏻿

5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?🔗ℹ


+
􏻿: 矢: originally means arrow, especially means vector. 十, originally means ten, especially means fixed length. .
zi
+
􏻽: 𭕄: is the horizontal way to write 氵, which is simplified from 水, originally means water, especially means mutable(水?).
zi
+
􏻼: 山: originally means mountain, especially means immutable(山?).
zi
+
􏻸: 穴.
zi
+

Examples:
> (􏻽 1 2 3 4)

'#(1 2 3 4)

> (􏻽? (􏻽 1 2 3 4))

#t

> (􏻼 1 2 3 4)

'#(1 2 3 4)

> (􏻼? (􏻼 1 2 3 4))

#t

> (􏻽? (􏻿 1 2 3 4))

#t

> (􏻼? '#(1 2 3 4))

#t

> (􏻿? (􏻿 1 2 3 4))

#t

> (􏻿? (􏻽 1 2 3 4))

#t

> (􏻿? (􏻼 1 2 3 4))

#t

> (􏻸? (􏻿))

#t

> (􏻸? #())

#t

5.2.3 􏻺 􏻻 􏻹🔗ℹ

🐘 􏼓 􏼎 􏿝

Examples:
> (􏻺 5 'foo)

'#(foo foo foo foo foo)

> (􏻻 5 􏽊)

'#(1 2 3 4 5)

> (􏻹 '#(1) '#(2) '#(3) '#(4))

'#(1 2 3 4)

5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒🔗ℹ

🐘 巨 弔 𠆯

Examples:
> (􏻿巨 '#(1 2 3 4))

4

> (􏻿弔 '#(a b c d) 2)

'c

> (􏻿𠆯 '#(1 222 35 4) <)

'#(1 4 35 222)

> (􏻿􏽒 (􏻿 1 222 35 4) <)

5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並🔗ℹ

🐘 􏻼 􏻿􏾝

Examples:
> (􏻼化 '#(a b c d))

'#(a b c d)

> (􏿴化􏻿 '(a b c d))

'#(a b c d)

> (􏻿化􏿴 '#(a b c d))

'(a b c d)

> (􏻿􏾝化並 '#(a b c d) 0 2)

'a

'b

5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝🔗ℹ

🐘 􏾺 􏸄 􏾝

Examples:
> (􏻿􏾺 '#(a b c d e f) 2)

'#(a b)

> (􏻿􏷵 '#(a b c d e f) 2)

'#(c d e f)

> (􏻿􏸄 '#(a b c d e f) 2)

'#(a b)

'#(c d e f)

> (􏻿􏾝 '#(a b c d e f) 0 2)

'#(a b)

5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇🔗ℹ

🐘 弓 􏷑 􏹇

Examples:
> (􏻿弓 'c '#(a b 1 c 2 d 3 e))

3

> (􏻿􏷑 􏽊 '#(1 2 3 4))

'#(2 3 4 5)

> (􏻿􏹈 􏻛? '#(1 2 -3 4))

'#(1 2 4)

> (􏻿􏹇 􏻛? '#(1 2 -3 4))

'#(-3)

> (名 vec (􏻿 1 2 3 4))
> (􏻿􏷉 􏽊 vec)

'#(2 3 4 5)

> vec

'#(2 3 4 5)

5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝🔗ℹ

🐘 􏾝 攸

🐘 􏻿􏾝

Examples:
> (名 vec (􏻿 'a 'b 'c 'd))
> vec

'#(a b c d)

> (􏻿􏾩 vec 1 'x)
> vec

'#(a x c d)

> (􏻿𢪛 vec 1 'h 2 'i 3 'j)
> vec

'#(a h i j)

> (􏻺𰅡 vec 'z)
> vec

'#(z z z z)

> (􏻿𢪛/以􏾝 vec 0 '#(aa bb cc dd) 1 3)
> vec

'#(bb cc z z)

5.2.9 基础例程🔗ℹ

 (require ming/racket/base) package: ming

composition

􏻿 : 矢 + 十 = vector

composition

􏻿? : 􏻿 + ? = vector?

composition

􏻺 : 三 + 􏻿 = make-vector

composition

􏻼 : 山 + 􏻿 = vector-immutable

composition

􏻿巨 : 􏻿 + 巨 = vector-length

composition

􏻿弔 : 􏻿 + 弔 = vector-ref

composition

􏻿􏾩 : 􏻿 + 􏾩 = vector-set!

composition

􏻿化􏿴 : 􏻿 + 化 + 􏿴 = vector->list

composition

􏿴化􏻿 : 􏿴 + 化 + 􏻿 = list->vector

composition

􏻼化 : 􏻼 + 化 = vector->immutable-vector

composition

􏻺𰅡 : 􏻺 + 𰅡 = vector-fill!

composition

􏻿𢪛/以􏾝 : 􏻿𢪛 + / + 以􏾝 = vector-copy!

composition

􏻿􏾝化並 : 􏻿􏾝 + 化 + 並 = vector->values

composition

􏻻 : 弓 + 􏻿 = build-vector

5.2.10 额外例程🔗ℹ

 (require ming/racket/vector) package: ming

composition

􏻸? : 􏻸 + ? = vector-empty?

composition

􏻿𢪛 : 􏻿 + 𢪛 = vector-set*!

composition

􏻿􏷑 : 􏻿 + 􏷑 = vector-map

composition

􏻿􏷉 : 􏻿 + 􏷉 = vector-map!

composition

􏻹 : 毌 + 􏻿 = vector-append

composition

􏻿􏾺 : 􏻿 + 􏾺 = vector-take

composition

􏻿𨚞 : 􏻿 + 𨚞 = vector-take-right

composition

􏻿􏷵 : 􏻿 + 􏷵 = vector-drop

composition

􏻿􏷴 : 􏻿 + 􏷴 = vector-drop-right

composition

􏻿􏸄 : 􏻿 + 􏸄 = vector-split-at

composition

􏻿􏸃 : 􏻿 + 􏸃 = vector-split-at-right

composition

􏻿􏾝 : 􏻿 + 􏾝 = vector-copy

composition

􏻿􏹈 : 􏻿 + 􏹈 = vector-filter

composition

􏻿􏹇 : 􏻿 + 􏹇 = vector-filter-not

composition

􏻿􏹈巨 : 􏻿 + 􏹈 + 巨 = vector-count

composition

􏻿􏷑􏺗 : 􏻿 + 􏷑 + 􏺗 = vector-argmin

composition

􏻿􏷑􏺘 : 􏻿 + 􏷑 + 􏺘 = vector-argmax

composition

􏻿弓 : 􏻿 + 弓 = vector-member

composition

􏻿弓/􏾗 : 􏻿弓 + / + 􏾗 = vector-memv

composition

􏻿弓/􏾃 : 􏻿弓 + / + 􏾃 = vector-memq

composition

􏻿𠆯 : 􏻿 + 𠆯 = vector-sort

composition

􏻿􏽒 : 􏻿 + 􏽒 = vector-sort!

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►Ming Language
▼4 Ming Libraries
4.1 kernel of ming lang
4.2 􏿴
4.3 􏻿
4.4 􏿰
4.5 句
4.6 米
8.13
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4 Ming Libraries🔗

    4.1 kernel of ming lang

      4.1.1 ming/kenel

    4.2 􏿴

    4.3 􏻿

    4.4 􏿰

    4.5 句

    4.6 米

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▼Ming Language
►3 Naming Rules
On this page:
3.1 Characters
3.2 Punctuations
3.3 Phrases
3.4 Hybrids
8.13
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3 Naming Rules🔗

3.1 Characters🔗

You may need to read Character implications first.

Part

Connotation

Elucidation

Example

亻

general subset

The type of output data is same as input, content is part of input.

伄 攸 𰂋 偏 􏾜 􏾛 偅 𠆯 􏹈

阝

serial subset

The type of output data is same as input, content is a serial part of input.

阴 阳 􏾝 􏾺 𨚞 䢼 􏹋 邭

刂

broken subset

The type of output data is same as input, content is almost same, except some elements are removed.

􏷵 􏷴 􏺊 𠝤 􏹇 􏹊

彐

find

Simplifies from 寻, which means find.

􏹋 􏹉 􏹊 􏹅 􏹌 􏹈 􏹇 􏺗 􏺘

戈

substitute

Means substitute.

􏼥

土 

produce

Means create, build, produce.

垎

扌

Same as usage of !

Means directly modify the original data instead of creating new one, thus the output is void.

􏻿􏾩 􏼘 􏻿􏽒 􏻺𰅡

攵

modify

Means modify value corresponding to specified index, thus inputs are index number and expected value.

攸 􏼘

三

duplicated elements

Means three, especially means duplicated elments.

􏼓 􏻺 􏼅

弓

index

Means index(ref to 弓), especially means a range of numbers.

􏼎 􏻻 􏼄

弔

value of index

Means Returns corresponding vaule of index, thus the type of input data is 􏺡?.

弔 伄 􏾘 􏾝 􏼭 􏻿弔 􏿰弔 􏿰􏾘

毌

append

Simplifies from 贯, which means append.

􏿝 􏻹 􏼃 􏼂 􏼁

穴

empty

Simplifies from 空, means empty.

空? 𥥪? 􏻸? 􏻵? 􏻷? 􏼟?

非

not

Means not.

􏼟?

巨

length

Means return the length.

巨 􏺕 􏻿巨 􏿰巨

米

number

Simplifies from 数, which means number.

􏼏 米? 𥥪? 夈? 粊? 􏻛? 􏺧? 􏽊

3.2 Punctuations🔗

Rule

Connotation

Elucidation

Example

suffix ?

boolean as output

Is or not is. the output is boolean.

空? 𥥪?

suffix !

same as usage of 攵

Means directly modify the original data instead of creating new one, thus the output is void.

􏿰􏾘! 􏿰𠛮!

suffix ~

softly

Immediately returns result once meet the request.

􏹊~ 􏹇~

suffix ^

list as input

The type of input data is list

􏹊^ 伄^

include /

Of

output is determinated by prefix of /

􏿴/组合 􏿴/分组

3.3 Phrases🔗

Rule

Connotation

Elucidation

Example

suffix 分

splits data

Splits input data, and output them in values type.

􏾺分、𨚞分、䢼分、􏷳分、􏹈分

suffix 化

attribute convert

Convert attributes of data, such as from mutable to immutable.

􏻼化 􏽀化 􏽁化

insert 化

type convert

Convert types of data.

􏻿化􏿴 􏿴化􏻿

3.4 Hybrids🔗

Rule

Connotation

Elucidation

Example

suffix 𰅡

directly attribute convert

Directly convert attribute of data with modifying the orignal data.

􏼅𰅡

include /入

Function as input

Means Type of input data is procedure.

弓/入 𰁣/入 攸/入 􏾺/入 𨚞/入

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►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.8 米
On this page:
5.8.1 命名规则
5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?
5.8.3 常用概念：􏻴?，𥥪?
5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?
5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?
5.8.6 组合表达：􏻲?，􏺡?
5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘
5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐
5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句
5.8.10 数的类型例程
米?
夈?
宩?
粊?
􏻴?
􏻲?
􏺡?
􏺣?
􏺠?
􏻥?
釆?
􏻝?
􏻞?
可􏻞?
𥥪?
􏻛?
􏻚?
􏺦?
􏺧?
􏻧?
􏺟?
􏻧化
􏺟化
􏻞化
􏻝化
5.8.11 数的运算例程
+
-
*
/
􏻓
𥺌
􏻓和𥺌
糢
􏽊
􏽉
􏹚
􏺗
􏺘
?最大公约数
?最小公约数
􏹓
􏹑
􏹒
􏹐
?分子
?分母
?粊化
=
>
<
>=
<=
?平方根
?整数平方根
?整数平方根余数
?次方
?欧拉次方???
?对数
?正弦
?余弦
?正切
?反正弦???
?反余弦
?反正切
?矩数???
?极式复数???
宩
􏻟
?极式复数量???
?极式复数度???
米化句
句化米
宩化􏹔句
8.13
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5.8 米🔗

另见名扩展库：米

“数”（numbers）是编程语言乃至现代科学中极其重要的一个概念。

5.8.1 命名规则🔗

数被简写为米偏旁，以便构造单字来表示跟其相关的概念 +

  • 现代汉语中“数”有关的概念和词汇很多都来对英文的直接翻译，并且大都使用词组来构造；

  • 但我认为仅单个汉字所能包含的意义很多时候就已经比英文中的单词多了，进而还构造使用词组进行表达就会显得“含意过剩”，反而显得啰唆，含意不清；

  • 故此，本语言对关于“数”的例程做了简化：剔除多余无效的表意偏旁，代之以简洁有效的偏旁组合成单字进行表达。

见Naming Rules，有：

规则

含义

举例

下偏旁米

大类概念

米?、夈?、宩、􏻟、粊?、䉾?、􏻥?

上偏旁米

常用概念

􏻛?、􏻚?、􏺧?、􏺦?

整体性结构的米

常用概念

米?、􏻴?、釆?

偏旁石

“准确”相关

􏻧?、􏻲?、􏺟?，􏺡?

左偏旁米

内部实现、运算或转化例程（进参、出参都是数字）

􏽉、􏽊、􏺗、􏺘

偏旁􏻴

整数相关

􏹓、􏻲?、􏺡?

偏旁彡

近视值

􏹔、􏹓、􏹒、􏹑、􏹐

左偏旁立

精确位数

􏻞?、􏻝?

化

类型转化

􏻧化、􏺟化， 􏻞化、􏻝化，米化句、句化米、宩化􏹔句

5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?🔗


+

夈为古活字
+宩为古活字
+􏻟为新造字
+粊为古活字
+䉾为古活字
+

  • 下偏旁米：数相关的大类概念；

  • 夂：复的简写，更是冬的简写，冬通终，故也有所有的数终归都是复数之意；

  • 宀：实的简写；

  • 虍：虚的简写；

  • 比：因为有理数是可以用两个整数之比表示的数；

  • 北：背的简写，因为无理数是不能用两个整数之比表示的数（与之相违背）；

所有的“米”（数）都是“夈”（复数）；“夈”由“宩”（实数）和“􏻟”（虚数）组成；“宩”则由“粊”（有理数）和“䉾”（无理数）组成。 +

Examples:
> (米? 1)

#t

> (宩? 1)

#t

> (粊? 1)

#t

5.8.3 常用概念：􏻴?，𥥪?🔗


+

􏻴为新造字
+𥥪为古活字
+

  • 􏻴：米+束组成而成；

  • 束：整的简写；

  • 穴：空的简写。

“􏻴”（整数）是非常基本和常用的数学概念；“𥥪”（空位的数字）也是非常基本的数学概念。 +

Examples:
> (􏻴? 1)

#t

> (𥥪? 0)

#t

5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?🔗


+

􏻛为新造字
+􏻚为新造字
+􏺧为新造字
+􏺦为新造字
+

  • 上偏旁米：数相关的常用概念；

  • 正：正数的；

  • 贝：负数的，负的简写；

  • 日：奇数的，“奇数”在古代叫“阳数”（阴阳是贯穿于本语言的基本概念）；

  • 月：偶数的，“偶数”在古代叫“阴数”（阴阳是贯穿于本语言的基本概念）。

对于“粊”而言，最常使用的子概念是：“􏻛”（正数）、“􏻚”（负数）；对于“􏻴”而言，最常使用的子概念是：“􏺧”（奇数）、“􏺦”（偶数）。 +

Examples:
> (􏻛? 1)

#t

> (􏻚? -1)

#t

> (􏺧? 1)

#t

> (􏺦? 2)

#t

5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?🔗


+

釆为古活字
+􏻞为新造字
+􏻝为新造字
+􏻧为新造字
+􏺟为新造字
+

  • 釆：浮+米组成而成；

  • 丿：浮的简写；

  • 立：位的简写。

  • 石：准确的简写；

  • 非：非；

在编程语言的具体实现中，“米”有“􏻧”（准确）和“􏺟”（不准确）之分；“􏻴”是“􏻧”，而“􏺟”是用“釆”（浮点数）实现的（见：WIKI:IEEE_754）；“釆”按照精确度可分为“􏻞”（单倍精度浮点数）和“􏻝”（双倍精度浮点数）。 +

Examples:
> (釆? 1.1)

#t

> (􏻞? 1.1)

#f

> (􏻝? 1.1)

#t

> (􏻧? 1)

#t

> (􏺟? 1.1)

#t

5.8.6 组合表达：􏻲?，􏺡?🔗


+

􏻲为新造字
+􏺡为新造字
+

  • 􏻴：整数的简写；

  • 石：准确的简写；

  • 非：非；

  • 丰：非的简写；

  • 贝：负的简写；

Examples:
> (􏻲? 1)

#t

> (􏺡? 1)

#t

5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘🔗


+

􏽊为新造字
+􏽉为新造字
+􏺗为新造字
+􏺘为新造字
+

  • 曾：增的简写，曾是一种多层的蒸屉；

  • 员：损/陨的简写，陨本意是“球高从落下”；

  • 彐：寻找，参见彐；

  • 大：数值大的；

  • 小：数值小的。

Examples:
> (􏽊 1)

2

> (􏽉 1)

0

> (􏺗 1 2 3 4 5)

5

> (􏺘 1 2 3 4 5)

1

5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐🔗


􏹚为新造字
+􏹓为新造字
+􏹒为新造字
+􏹑为新造字
+􏹐为新造字
+

  • 􏻴：整数的简写；

  • 丨丨：绝对值（源自数学上的符号）；

  • 彡：数值修约、简化、近似值的；

  • 大：数值趋大的；

  • 小：数值趋小的。

  • 穴：数值趋零的，𥥪的简写，见𥥪?。

另见：􏹔

对于“数值修约”而言，可分为无条件修约与有条件修约。

前者方法有：上取整（􏹑）、下取整（􏹒）、截尾取整（􏹐）、无条件进位（􏹍）；后者方法则有：四舍五入、五舍六入、四舍六入五留双（奇进偶舍）（􏹓）。

上述方法中，“四舍五入法”最广为人知：如遇0、1、2、3、4则退位，5、6、7、8、9则进位，进退位虽都各为五个数字。但是0其实是不处理值、准确无变化值，这样算来退位实为1、2、3、4这四个，所以从统计学角度讲平均值是偏大的。

而“四舍六入五留双”其实是更精确的规则，所以默认采用之。

Examples:
> (􏹚 -1)

1

> (􏹚 1)

1

> (􏹚 0)

0

> (􏹓 1.1)

1.0

> (􏹓 1.5)

2.0

> (􏹓 1.6)

2.0

> (􏹓 2.1)

2.0

> (􏹓 2.5)

2.0

> (􏹓 2.6)

3.0

> (􏹒 1.1)

2.0

> (􏹒 -1.1)

-1.0

> (􏹑 1.9)

1.0

> (􏹑 -1.9)

-2.0

> (􏹐 1.9)

1.0

> (􏹐 -1.9)

-1.0

5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句🔗


+

􏹔为新造字
+

  • 彡：数值修约、简化、近似值的；

另见：􏹔

Examples:
> (􏻧化 1.1)

2476979795053773/2251799813685248

> (􏺟化 1)

1.0

> (􏻞化 1)

real->single-flonum: unsupported

> (􏻝化 1)

1.0

> (米化句 1.123)

"1.123"

> (句化米 "1.1")

1.1

> (句化米 "1.0")

1.0

> (句化米 "1")

1

> (宩化􏹔句 0.014)

"0.01"

> (宩化􏹔句 0.015)

"0.01"

> (宩化􏹔句 0.016)

"0.02"

> (宩化􏹔句 0.044)

"0.04"

> (宩化􏹔句 0.045)

"0.04"

> (宩化􏹔句 0.046)

"0.05"

5.8.10 数的类型例程🔗

 (require ming/racket/base) package: ming

composition

米? :  = number?

composition

夈?

 : elem + 复数?（各取偏旁得造，复数=实数+虚数；另 + needtofix + 是 + needtofix + 的简写， + needtofix + 通 + needtofix + ，故也有所有的数终归都是复数之意）
 = complex?

composition

宩? :  = real?

composition

粊?

 : elem + 有理数?（可以用两个整数之比表示的实数称为有理数（无理数用 + needtofix + 表示（北是背的原形）））
 = rational?

composition

􏻴? :  = integer?

composition

􏻲? :  = exact-integer?

composition

􏺡? :  = exact-nonnegative-integer?

composition

􏺣? :  = exact-positive-integer?

composition

􏺠? :  = inexact-real?

composition

􏻥? : elem + 固定数（ + needtofix + 的一种具体实现） = fixnum?

composition

釆? :  = flonum?

composition

􏻝? : elem + 双倍精度浮点数（仿 + needtofix + ，且占用64位内存而得造）

 = double-flonum?

composition

􏻞?

 : elem + 单倍精度浮点数（ + needtofix + 是 + needtofix + 的简写，因其在实现上占用32位内存而得造）
 = single-flonum?

composition

可􏻞? : 可 + 􏻞 + ? = single-flonum-available?

composition

𥥪? :  = zero?

composition

􏻛? :  = positive?

composition

􏻚? :  = negative?

composition

􏺦? :  = even?

composition

􏺧? :  = odd?

composition

􏻧? :  = exact?

composition

􏺟? :  = inexact?

composition

􏻧化 : elem + needtofix + 转化为 + needtofix = inexact->exact

composition

􏺟化 : elem + needtofix + 转化为 + needtofix = exact->inexact

composition

􏻞化 : elem + needtofix + 转化为 + needtofix = real->single-flonum

composition

􏻝化 : elem + needtofix + 转化为 + needtofix = real->double-flonum

5.8.11 数的运算例程🔗

 (require ming/racket/base) package: ming

composition

+ :  = +

composition

- :  = -

composition

* :  = *

composition

/ :  = /

composition

􏻓 :  = quotient

composition

𥺌 :  = remainder

composition

􏻓和𥺌 :  = quotient/remainder

composition

糢 :  = modulo

composition

􏽊 :  = add1

composition

􏽉 :  = sub1

composition

􏹚 :  = abs

composition

􏺗 :  = max

composition

􏺘 :  = min

composition

?最大公约数 : ? + 最 + 大 + 公 + 约 + 数 = gcd

composition

?最小公约数 : ? + 最 + 小 + 公 + 约 + 数 = lcm

composition

􏹓 :  = round

composition

􏹑 :  = floor

composition

􏹒 :  = ceiling

composition

􏹐 :  = truncate

composition

?分子 : ? + 分 + 子 = numerator

composition

?分母 : ? + 分 + 母 = denominator

composition

?粊化 :  = rationalize

composition

= :  = =

composition

> :  = >

composition

< :  = <

composition

>= :  = >=

composition

<= :  = <=

composition

?平方根 : ? + 平 + 方 + 根 = sqrt

composition

?整数平方根 : ? + 整 + 数 + 平 + 方 + 根 = integer-sqrt

composition

?整数平方根余数 : ? + 整 + 数 + 平 + 方 + 根 + 余 + 数

 = integer-sqrt/remainder

composition

?次方 : ? + 次 + 方 = expt

composition

?欧拉次方??? : ? + 欧 + 拉 + 次 + 方 + ? + ? + ? = exp

composition

?对数 : ? + 对 + 数 = log

composition

?正弦 : ? + 正 + 弦 = sin

composition

?余弦 : ? + 余 + 弦 = cons

composition

?正切 : ? + 正 + 切 = tan

composition

?反正弦??? : ? + 反 + 正 + 弦 + ? + ? + ? = asin

composition

?反余弦 : ? + 反 + 余 + 弦 = acos

composition

?反正切 : ? + 反 + 正 + 切 = atan

composition

?矩数??? : ? + 矩 + 数 + ? + ? + ? = make-rectangular

composition

?极式复数??? : ? + 极 + 式 + 复 + 数 + ? + ? + ? = make-polar

composition

宩 :  = real-part

composition

􏻟 :  = imag-part

composition

?极式复数量??? : ? + 极 + 式 + 复 + 数 + 量 + ? + ? + ? = magnitude

composition

?极式复数度??? : ? + 极 + 式 + 复 + 数 + 度 + ? + ? + ? = angle

composition

米化句 : 米 + 化 + 句 = number->string

composition

句化米 : 句 + 化 + 米 = string->number

composition

宩化􏹔句 : elem + 将 + needtofix + 转化成 + needtofix + needtofix

 = real->decimal-string

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\ No newline at end of file diff --git a/pairs-and-lists.html b/pairs-and-lists.html new file mode 100644 index 00000000..bbe46ade --- /dev/null +++ b/pairs-and-lists.html @@ -0,0 +1,43 @@ + +5.1 双 and 􏿴
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.1 双 and 􏿴
On this page:
5.1.1 Naming Rules
5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳
5.1.3 阴阳+  -
5.1.4 􏿝, 􏿜
5.1.5 攸
5.1.6 􏼏, 􏼏*
5.1.7 􏼓, 􏼎
5.1.8 弔, 弓,弓*, 􏹂, 􏹂*
5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓
5.1.10 末, 􏹨
5.1.11 巨
5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/  入,𨚞/  入, 􏾺?
5.1.13 左􏸑, 左􏸒, 左􏸓
5.1.14 𰂋，偏，􏾜，重、𠝤
5.1.15 􏾛、𠆯
5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇
5.1.17 􏹈分，􏹈巨
5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎
5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘
5.1.20 􏷍/  组合、􏷍/  排列组合，􏷍/  笛卡尔积，􏷍/  分组
5.1.21 ming/  racket/  base
双
双?
阳
阴
㐅?
㐅
􏿴
􏿫
􏿴?
􏼎
弔
巨
􏿝
􏾛
􏹊~
􏹊~/  􏾗
􏹊~/  􏾃
􏹊~/  侗
􏹊^
􏹊^/  􏾗
􏹊^/  􏾃
􏹊^/  侗
𠆯
􏹋
􏹋/  􏾗
􏹋/  􏾃
􏹋/  侗
􏹅
􏹉
􏹉/  􏾗
􏹉/  􏾃
􏹉/  侗
􏹄
􏹌
􏹈
􏷒
􏷑
􏷐
􏷏
􏷎
右􏷎
阳+
阴+
阳-
阴-
阳+  +
阴+  +
阳-+
阴-+
阳+  -
阴+  -
阳--
阴--
阳+  +  +
阴+  +  +
阳-+  +
阴-+  +
阳+  -+
阴+  -+
阳--+
阴--+
阳+  +  -
阴+  +  -
阳-+  -
阴-+  -
阳+  --
阴+  --
阳---
阴---
5.1.22 ming/  racket/  list
穴
􏷜
􏷛
􏷚
􏷙
􏷘
􏷗
􏷖
􏷕
􏷔
􏷓
末
􏹨
􏼓
攸
攸/  入
弓
􏹂
弓*
􏹂*
􏾺
𨚞
􏷵
􏷴
􏾺/  入
𨚞/  入
􏷵/  入
􏷴/  入
􏸄
􏸃
􏸄/  入
􏸃/  入
􏾺?
左􏸑
左􏸒
左􏸓
􏿜
𰂋
偏
􏾜
重
𠝤
􏹇
􏹈分
􏹈巨
􏹈􏷑
􏷑􏿝
􏼏
􏼏*
􏷍/  组合
􏷍/  排列组合
􏷍序列/  组合
􏷍序列/  排列组合
􏷑􏺗
􏷑􏺘
􏷍/  分组
􏷍/  笛卡尔积
􏹇~
8.13
    contents    up   

5.1 双 and 􏿴🔗

Originates from Pairs and Lists and Extends to 􏿴.

5.1.1 Naming Rules🔗

To extend Naming Rules, specifically there are： +

Character

Connotation

Elucidation

Example

􏷫 as radical

resembles 􏿴

Has the similar function process as it resembling and the type of output is same as 􏿴 accordingly.

􏼓 􏼎 􏼏 􏿝

􏷩 as radical

resembles 􏿫

Has the similar function process as it resembling and the type of output is same as (􏿫) accordingly.

􏿜

亻 as component

general subset or cousion

Returns a new list with elements produced from the input list.(Implies the input data and output data are the same type.)

伄 攸 𰂋 偏 􏾜 􏾛 偅 𠆯 􏹈 􏷍?

阝 as component

serial subset

Returns a new list with elements serially produced from the input list.(Implies the input data and output data are the same type.)

􏾝 􏾺 𨚞 􏹋

􏸋 as component

serial subset of lists

Returns a new list with elements serially produced from the input lists.(Implies the multiple input data and output data are the same type.)

左􏸑

刂 as component

broken subset

Returns a new list with removing some elements from the input list.

􏷵 􏷴 􏺊 􏾘 𠝤 􏹊 􏹇

􏸌 as component

broken subset of lists

Returns a new list with removing some elements from the input lists.(Implies the multiple input data and output data are the same type.)

左􏸒

分 as component

split input list to values

Implies the type of output data is values(並).

􏸄 􏸃

􏸍 as component

split input lists to values

Implies input data is lists and the type of output data is values(並).

􏸄 􏸃

入 as component

same as /入

Implies the type of input data is function.

􏹃 􏹌 􏹅 􏹇 􏹂

土 as component

product data

Manufactures data and product new one, implies the type of output data is not same as input.

􏷎

Phrase

-

-

-

suffixed with 分

split data to values

分

􏹈分

Punctuation

-

-

-

suffixed with *

strengthen

Strengthen the process, thus the data of output may become longer, and the type may be changed accordingly.

弓* 􏹂* 􏼏*

suffixed with ~

soften

Soften the process, thus the output data shorter.

􏹊~ 􏹇~

suffixed with ^

list as input

Implies the type of input data is list.

􏹊^ 伄^ 􏾘^

inserted with /

extend prefix

Suffix of / can be considered as an extending explanation of its prefix.

􏷍/组合 􏷍/分组

suffixed with ?

boolean as output

Implies the type of output data is boolean.

双? 􏿴? 􏿳?

Hybrid

-

-

-

has /入

function as input

Implies the type of input data is function.

攸/入 􏾺/入 𨚞/入

5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳 🔗

Abstractly, we can pair two data together. Integrally, it is called 双. Separately, the position where set the first data is call 阳, the second is call 阴.

Further more, if we put another 双 to 阴 position of the former 双, we get a linked data. Likewise, the linked data can be extended as long as you want. By this way, if we leave 阴 of the ending 双 to be empty(㐅), we get a data called 􏿴; if not, we call it 􏿫.

双: 又: resembles the picture of human’s right hand trying to hold an object. Two human hand here stand for an object with including two holding data.
zi
+
㐅: simplified from 穴. 穴: simplified from 空, which means empty.
zi
+
􏿴: the reaching to left bottom 又 means multiple 双 linked together, 㐅 means ending with empty(㐅).
zi
+
􏿫: resembles 􏿴 except substituting 㐅 with 又, which means the ending position is not empty(㐅).
zi
+
阳: 日: means sun, implicitly means the former part of an object, or the position aspect of an object. Ref to wiki.
zi
+
阴: 月: means moon, implicitly means the secondary part of of an object, or the negative aspect of an object. Ref to wiki.
zi

Examples:
> (双 1 2)

'(1 . 2)

> (双 1 (双 2 (双 3 (双 4 㐅))))

'(1 2 3 4)

> (􏿴 1 2 3 4)

'(1 2 3 4)

> (双 1 (双 2 (双 3 4)))

'(1 2 3 . 4)

> (􏿫 1 2 3 4)

'(1 2 3 . 4)

> (􏿫 1 2 3 '(4))

'(1 2 3 4)

> (阳 '(1 . 2))

1

> (阴 '(1 . 2))

2

> (阳 '(1 2 3 4))

1

> (阴 '(1 2 3 4))

'(2 3 4)

5.1.3 阴阳+-🔗

阳+/阴+/阳-/阴-: For the case of functions starting with 阴 or 阳 and following with + or -, + stands for 阳 and - stands for 阴.
+For example, (阴+-- lst) is short for (阴 (阴 (阳 (阴 lst)))).

zi

+

Examples:
> (阴+ '(1 2 3 4))

2

> (阴-+ '(1 2 3 4))

3

> (阳 '((1 1.1) 2 3 4))

'(1 1.1)

> (阳+ '((1 1.1) 2 3 4))

1

> (阳-+ '((1 1.1) 2 3 4))

1.1

5.1.4 􏿝, 􏿜🔗

􏿝/􏿜: 毌: simplified from 贯, which means append, going through a few objects and connect them together.

zi

+

Examples:
> (􏿴 1 2 3 4)

'(1 2 3 4)

> (􏿝 '(1) '(2) '(3) '(4))

'(1 2 3 4)

> (􏿝 '(1) '(2 3 4) '(5 6) '(7))

'(1 2 3 4 5 6 7)

> (􏿝 '(a b) 'c)

'(a b . c)

> (􏿝 '(a b) '(c . d))

'(a b c . d)

> (􏿝 '() 'a)

'a

> (􏿝 'a)

'a

> (􏿫 1 2 3 4)

'(1 2 3 . 4)

> (􏿜 '(1) '(2) '(3) '(4))

'(1 2 3 . 4)

> (􏿜 '(1) '(2 3 4) '(5 6) '(7))

'(1 2 3 4 5 6 . 7)

> (􏿫 1 2 3 '(4))

'(1 2 3 4)

> (􏿜 '(1) '(2) '(3) '((4)))

'(1 2 3 4)

> (􏿜 '(1) '(2 22) '(3 33) '((4 44)))

'(1 2 22 3 33 4 44)

> (􏿜 '(1) '(2 22) '((3 33)) '((4 44)))

'(1 2 22 (3 33) 4 44)

> (􏿜 '(a b) '(c))

'(a b . c)

> (􏿜 '(a b) '((c . d)))

'(a b c . d)

> (􏿜 '() '(a))

'a

> (􏿜 '(a))

'a

5.1.5 攸🔗

攸: 攵: means raping over something to make it changing itself, especially means set value. 丨: means only changing one value.
zi
+

🐘 𰁦 􏾩 𢪛

Examples:
> (攸 '(10 15 20 25) 1 1555)

'(10 1555 20 25)

> (攸/入 '(10 15 20 25) 1 􏽊)

'(10 16 20 25)

5.1.6 􏼏, 􏼏*🔗

􏼏: 米: means numbers, ref to: 米.
zi

Examples:
> (􏼏 10)

'(0 1 2 3 4 5 6 7 8 9)

> (􏼏 10 20)

'(10 11 12 13 14 15 16 17 18 19)

> (􏼏 10 20 2)

'(10 12 14 16 18)

> (􏼏* 10 20)

'(10 11 12 13 14 15 16 17 18 19 20)

> (􏼏* 10 20 2)

'(10 12 14 16 18 20)

5.1.7 􏼓, 􏼎🔗

􏼓: 三: originally means three, especially means duplicate data.
zi
+
􏼎: 弓.
zi
+

Examples:
> (􏼓 5 'foo)

'(foo foo foo foo foo)

> (􏼎 5 並)

'(0 1 2 3 4)

> (􏼎 5 􏽊)

'(1 2 3 4 5)

> (􏼎 5 (入 (n)
          (􏼓 5 'foo)))

'((foo foo foo foo foo)

  (foo foo foo foo foo)

  (foo foo foo foo foo)

  (foo foo foo foo foo)

  (foo foo foo foo foo))

5.1.8 弔, 弓,弓*, 􏹂, 􏹂*🔗

􏹂: 弓: resembles a rope wraped on stick, thus this rope can be used to count how many circles it is wrapping on stick. Especially means the index of an object in ming-lang.
zi
+
弔: simplified from 第 and resembles an stick wrapped with a rope in circles, thus it can be used to ref to an specific circle. Especially means reference in ming-lang.
zi
+

🐘 伄 􏾘 􏾝

Examples:
> (弔 '(a b c d e c f) 2)

'c

> (弓 '(a b c d e c f) 'c)

2

> (弓* '(a b c d e c f) 'c)

'(2 5)

> (􏹂 '(a b 11 d 22 c f) 米?)

2

> (􏹂* '(a b 11 d 22 c f) 米?)

'(2 4)

5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓🔗

一: means one.
zi
+
二: means two.
zi
+
三: means three.
zi
+
四: means four.
zi
+
五: means five.
zi
+
六: means six.
zi
+
七: means seven.
zi
+
八: means eight.
zi
+
九: means nine.
zi
+
十: means ten.
zi
+

Examples:
> (􏷜 '(1 2 3 4 5 6 7 8 9 10))

1

> (􏷛 '(1 2 3 4 5 6 7 8 9 10))

2

> (􏷚 '(1 2 3 4 5 6 7 8 9 10))

3

> (􏷙 '(1 2 3 4 5 6 7 8 9 10))

4

> (􏷓 '(1 2 3 4 5 6 7 8 9 10))

10

5.1.10 末, 􏹨🔗

末: originally means treetop, especially means last. (木 means tree or wood, 本 means tree root.)
zi
+

Examples:
> (末 '(1 2 3 4))

4

> (􏹨 '(1 2 3 4))

'(4)

> (􏹨 '(1 2 3 . 4))

'(3 . 4)

5.1.11 巨🔗

巨: simplified from 矩, originally means straightedge, ruler, especially means measure length.
zi
+

🐘 􏹃

Example:
> (巨 '(a b c d e 3 f g))

8

5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?🔗

􏾺/􏷵/􏸄: 左: means left.

zi

+

𨚞/􏷴/􏸃: 右: means right.

zi

+

🐘 􏺊

Examples:
> (􏾺 '(a b c d e f g) 2)

'(a b)

> (𨚞 '(a b c d e f g) 2)

'(f g)

> (􏷵 '(a b c d e f g) 2)

'(c d e f g)

> (􏷴 '(a b c d e f g) 2)

'(a b c d e)

> (􏸄 '(a b c d e f g) 2)

'(a b)

'(c d e f g)

> (􏸃 '(a b c d e f g) 2)

'(a b c d e)

'(f g)

> (􏾺/入 '(8 4 a b 1 c d 2 e f g 3 5 9) 米?)

'(8 4)

> (𨚞/入 '(8 4 a b 1 c d 2 e f g 3 5 9) 米?)

'(3 5 9)

> (􏾺? '(a b) '(a b c d e f g))

#t

> (􏾺? '(a b z) '(a b c d e f g))

#f

5.1.13 左􏸑, 左􏸒, 左􏸓🔗

􏸑/􏸒/􏸓: 同.

zi

+

Examples:
> (左􏸑 '(a b x y z) '(a b c d e f g))

'(a b)

> (左􏸒 '(a b x y z) '(a b c d e f g))

'(x y z)

'(c d e f g)

> (左􏸓 '(a b x y z) '(a b c d e f g))

'(a b)

'(x y z)

'(c d e f g)

5.1.14 𰂋，偏，􏾜，重、𠝤🔗

间: means insert between.
zi
+
扁: means faltten.
zi
+
糸: simplified from 紊, means shuffle.
zi
+
重: means duplication.
zi
+

🐘 偅

Examples:
> (𰂋 '(a b c d) '和)

'(a 和 b 和 c 和 d)

> (偏 '((a b) (c d) (e f)))

'(a b c d e f)

> (􏾜 '(a b c d e d c b a))

'(a b d b e a d c c)

> (重 '(a b c d e d c b a))

'd

> (𠝤 '(a b c d e d c b a))

'(a b c d e)

5.1.15 􏾛、𠆯🔗

屰: resembles the picture of person standing on his head, means reverse in ming-lang.
zi
+
川: simplified from 顺, means in order.
zi
+

Examples:
> (􏾛 '(21 3 888 666 55 77 1000))

'(1000 77 55 666 888 3 21)

> (𠆯 '(21 3 888 666 55 77 1000) <)

'(3 21 55 77 666 888 1000)

> (𠆯 '(21 3 888 666 55 77 1000) >)

'(1000 888 666 77 55 21 3)

> (𠆯 '("cat" "dog" "chicken" "duck" "fox") 句<?)

'("cat" "chicken" "dog" "duck" "fox")

> (𠆯 '("cat" "dog" "chicken" "duck" "fox") 句>?)

'("fox" "duck" "dog" "chicken" "cat")

5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇🔗

􏹅/􏹇/􏹄/􏹈/􏹌/􏹊: 彐: simplified from 寻, means find, search.

zi

+

🐘 􏹊 􏾘 􏺈 􏺇

Examples:
> (􏹋 'c '(a b c d e f))

'(c d e f)

> (􏹉 'c '((a b) (c d) (e f)))

'(c d)

> (􏹊~ 'c '(a b c d e c f))

'(a b d e c f)

> (􏹊^ '(c e) '(a b c d e c f))

'(a b d f)

> (􏹌 米? '(a b 1 c d 3 e 9 f))

1

> (􏹈 米? '(a b 1 c d 3 e 9 f))

'(1 3 9)

> (􏹅 米? '(a b 1 c d 3 e 9 f))

'(1 c d 3 e 9 f)

> (􏹄 米? '((a b) (1 d) (j k) (8 f)))

'(1 d)

> (􏹇 米? '(a b 1 c d 3 e 9 f))

'(a b c d e f)

> (􏹇~ 米? '(a b 1 c d 3 e 9 f))

'(a b c d 3 e 9 f)

5.1.17 􏹈分，􏹈巨🔗

🐘 巨 􏹃

Examples:
> (􏹈分 米? '(a b 1 c d 3 e 9 f))

'(1 3 9)

'(a b c d e f)

> (􏹈巨 米? '(a b 1 c d 3 e 9 f))

3

5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎🔗

􏷒: 夂: simplified from 各, means each.
zi
+
􏷑: (􏷑 PROC (􏿴 a b c)) is simplified from: (􏿴 (PROC a) (PROC b) (PROC c))
zi
+
􏷐: (􏷐 PROC (􏿴 a b c)) is simplf-from: (并 (PROC a) (PROC b) (PROC c))
zi
+
􏷏: (􏷏 PROC (􏿴 a b c)) is simplified from: (戈 (PROC a) (PROC b) (PROC c))
zi
+
􏷎: (􏷎 PROC z (􏿴 a b c)) is simplified from: (PROC c (PROC b (PROC a z)))
(右􏷎 PROC z (􏿴 a b c)) is simplified from: (PROC a (PROC b (PROC c z)))
zi

Examples:
> (􏷒 行示 (􏿴 2 4 6 8))

2

4

6

8

> (􏷑 􏽊 '(1 2 3 4))

'(2 3 4 5)

> (􏷑 + '(1 2 3 4) '(100 200 300 400))

'(101 202 303 404)

> (􏷐 􏻛? '(1 2 -3 4))

#f

> (􏷐 + '(1 2 3 4) '(100 200 300 400))

404

> (􏷐 􏻚? '(1 2 -3 4))

#f

> (􏷏 + '(1 2 3 4) '(100 200 300 400))

101

> (􏷎 + 0 '(1 2 -3 4))

4

> (􏷎 双 '() '(1 2 -3 4))

'(4 -3 2 1)

> (右􏷎 双 '() '(1 2 -3 4))

'(1 2 -3 4)

5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘🔗

Examples:
> (􏹈􏷑 (入 (x) (并 (􏻛? x) (􏽊 x))) '(-2 -1 0 1 2))

'(2 3)

> (􏷑􏿝 􏻿化􏿴 '(#(1) #(2 3) #(4)))

'(1 2 3 4)

> (􏷑􏺗 char->integer '(#\a #\y #\b #\k #\c #\j #\d))

#\y

> (􏷑􏺘 char->integer '(#\a #\y #\b #\k #\c #\j #\d))

#\a

> (􏷑􏺗 阳 '((3 pears) (1 banana) (2 apples)))

'(3 pears)

> (􏷑􏺘 阳 '((3 pears) (1 banana) (2 apples)))

'(1 banana)

5.1.20 􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组🔗


+

Examples:
> (􏷍/组合 '(a b c))

'(() (a) (b) (a b) (c) (a c) (b c) (a b c))

> (􏷍/排列组合 '(a b c))

'((a b c) (b a c) (a c b) (c a b) (b c a) (c b a))

> (􏷍/笛卡尔积 '(1 2 3) '(a b c))

'((1 a) (1 b) (1 c) (2 a) (2 b) (2 c) (3 a) (3 b) (3 c))

> (􏷍/分组 米? '(1 a 2 b 3 c))

'((1 2 3) (a b c))

5.1.21 ming/racket/base🔗

 (require ming/racket/base) package: ming

composition

双 : 又 + 又 = cons

composition

双? : 双 + ? = pair?

composition

阳 : 阝 + 日 = car

composition

阴 : 阝 + 月 = cdr

composition

㐅? : 㐅 + ? = null?

composition

㐅 : 㐅 = null

composition

􏿴 : 􏿴 = list

composition

􏿫 : 􏿫 = list*

composition

􏿴? : 􏿴 + ? = list?

composition

􏼎 : 弓 + 􏷫 = build-list

composition

弔 : 弔 = list-ref

composition

巨 : 巨 = length

composition

􏿝 : 毌 + 􏷫 = append

composition

􏾛 : 亻 + 屰 = reverse

composition

􏹊~ : 􏹊 + ~ = remove

composition

􏹊~/􏾗 : 􏹊~ + / + 􏾗 = remw

composition

􏹊~/􏾃 : 􏹊~ + / + 􏾃 = remv

composition

􏹊~/侗 : 􏹊~ + / + 侗 = remq

composition

􏹊^ : 􏹊 + ^ = remove*

composition

􏹊^/􏾗 : 􏹊^ + / + 􏾗 = remw*

composition

􏹊^/􏾃 : 􏹊^ + / + 􏾃 = remv*

composition

􏹊^/侗 : 􏹊^ + / + 侗 = remq*

composition

𠆯 : 亻 + 川 = sort

composition

􏹋 : 彐 + 阝 = member

composition

􏹋/􏾗 : 􏹋 + / + 􏾗 = memw

composition

􏹋/􏾃 : 􏹋 + / + 􏾃 = memv

composition

􏹋/侗 : 􏹋 + / + 侗 = memq

composition

􏹅 : 􏹌 + 阝 = memf

composition

􏹉 : 日 + 彐 = assoc

composition

􏹉/􏾗 : 􏹉 + / + 􏾗 = assw

composition

􏹉/􏾃 : 􏹉 + / + 􏾃 = assv

composition

􏹉/侗 : 􏹉 + / + 侗 = assq

composition

􏹄 : 日 + 􏹌 = assf

composition

􏹌 : 彐 + 入 = findf

composition

􏹈 : 亻 + 􏹌 = filter

composition

􏷒 : 夂 + 入 = for-each

composition

􏷑 : 亻 + 􏷒 = map

composition

􏷐 : 并 + 􏷒 = andmap

composition

􏷏 : 戈 + 􏷒 = ormap

composition

􏷎 : 土 + 􏷒 = foldl

composition

右􏷎 : 右 + 􏷎 = foldr

composition

阳+ : 阳+ = caar

composition

阴+ : 阴+ = cadr

composition

阳- : 阳- = cdar

composition

阴- : 阴- = cddr

composition

阳++ : 阳+ = caaar

composition

阴++ : 阴+ = caadr

composition

阳-+ : 阳- = cadar

composition

阴-+ : 阴- = caddr

composition

阳+- : 阳+ = cdaar

composition

阴+- : 阴+ = cdadr

composition

阳-- : 阳- = cddar

composition

阴-- : 阴- = cdddr

composition

阳+++ : 阳+ = caaaar

composition

阴+++ : 阴+ = caaadr

composition

阳-++ : 阳- = caadar

composition

阴-++ : 阴- = caaddr

composition

阳+-+ : 阳+ = cadaar

composition

阴+-+ : 阴+ = cadadr

composition

阳--+ : 阳- = caddar

composition

阴--+ : 阴- = cadddr

composition

阳++- : 阳+ = cdaaar

composition

阴++- : 阴+ = cdaadr

composition

阳-+- : 阳- = cdadar

composition

阴-+- : 阴- = cdaddr

composition

阳+-- : 阳+ = cddaar

composition

阴+-- : 阴+ = cddadr

composition

阳--- : 阳- = cdddar

composition

阴--- : 阴- = cddddr

5.1.22 ming/racket/list🔗

 (require ming/racket/list) package: ming

composition

穴 : 穴 = empty

composition

􏷜 : 弔 + 一 = first

composition

􏷛 : 弔 + 二 = second

composition

􏷚 : 弔 + 三 = third

composition

􏷙 : 弔 + 四 = fourth

composition

􏷘 : 弔 + 五 = fifth

composition

􏷗 : 弔 + 六 = sixth

composition

􏷖 : 弔 + 七 = seventh

composition

􏷕 : 弔 + 八 = eighth

composition

􏷔 : 弔 + 九 = ninth

composition

􏷓 : 弔 + 十 = tenth

composition

末 : 末 = last

composition

􏹨 : 末 + 双 = last-pair

composition

􏼓 : 三 + 􏷫 = make-list

composition

攸 : 亻 + 丨 + 攵 = list-set

composition

攸/入 : 攸 + / + 入 = list-update

composition

弓 : 弓 = index-of

composition

􏹂 : 弓 + 入 = index-where

composition

弓* : 弓 + * = indexes-of

composition

􏹂* : 􏹂 + * = indexes-where

composition

􏾺 : 左 + 阝 = take

composition

𨚞 : 右 + 阝 = take-right

composition

􏷵 : 左 + 刂 = drop

composition

􏷴 : 右 + 刂 = drop-right

composition

􏾺/入 : 􏾺 + / + 入 = takef

composition

𨚞/入 : 𨚞 + / + 入 = takef-right

composition

􏷵/入 : 􏷵 + / + 入 = dropf

composition

􏷴/入 : 􏷴 + / + 入 = dropf-right

composition

􏸄 : 左 + 分 = split-at

composition

􏸃 : 右 + 分 = split-at-right

composition

􏸄/入 : 􏸄 + / + 入 = splitf-at

composition

􏸃/入 : 􏸃 + / + 入 = splitf-at-right

composition

􏾺? : 􏾺 + ? = list-prefix?

composition

左􏸑 : 左 + 同 + 􏸋 = take-common-prefix

composition

左􏸒 : 左 + 同 + 􏸌 = drop-common-prefix

composition

左􏸓 : 左 + 同 + 􏸍 = split-common-prefix

composition

􏿜 : 毌 + 􏷩 = append*

composition

𰂋 : 亻 + 间 = add-between

composition

偏 : 亻 + 扁 = flatten

composition

􏾜 : 亻 + 糸 = shuffle

composition

重 : 重 = check-duplicates

composition

𠝤 : 重 + 刂 = remove-duplicates

composition

􏹇 : 􏹌 + 刂 = filter-not

composition

􏹈分 : 􏹈 + 分 = partition

composition

􏹈巨 : 􏹈 + 巨 = count

composition

􏹈􏷑 : 􏹈 + 􏷑 = filter-map

composition

􏷑􏿝 : 􏷑 + 􏿝 = append-map

composition

􏼏 : 米 + 􏷫 = range

composition

􏼏* : 􏼏 + * = inclusive-range

composition

􏷍/组合 : 􏷍 + / + 组合 = combinations

composition

􏷍/排列组合 : 􏷍 + / + 排列组合 = permutations

composition

􏷍序列/组合 : 􏷍序列 + / + 组合 = in-combinations

composition

􏷍序列/排列组合 : 􏷍序列 + / + 排列组合 = in-permutations

composition

􏷑􏺗 : 􏷑 + 􏺗 = argmax

composition

􏷑􏺘 : 􏷑 + 􏺘 = argmin

composition

􏷍/分组 : 􏷍 + / + 分组 = group-by

composition

􏷍/笛卡尔积 : 􏷍 + / + 笛卡尔积 = cartesian-product

composition

􏹇~ : 􏹇 + ~ = remf

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\ No newline at end of file diff --git a/procedures.html b/procedures.html new file mode 100644 index 00000000..39c9d744 --- /dev/null +++ b/procedures.html @@ -0,0 +1,5 @@ + +5.12 禾
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.12 禾
On this page:
5.12.1 禾、禾?
5.12.2 入、􏸗
5.12.3 􏸛，􏸚
5.12.4 􏸘
5.12.5 Base References
入
􏸗
名
令
𡊤
禾?
秝
􏸕
􏸘
5.12.6 Additional References
𥟍
8.13
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5.12 禾🔗

Racket’s Procedures is especially called 禾 in ming-lang.

5.12.1 禾、禾?🔗

禾: simplifies for 程, which means journey/procedure in modern chinese.
zi
+

Example:
> (禾? (􏸧 1))

#t

5.12.2 入、􏸗🔗

🐘 􏸧、􏸬、􏸫、􏸪

入: resembles λ, especially means lambda in ming-lang.
zi
+

Examples:
> (入 () 空)

#<procedure>

> (名 fun
    (􏸗 [() #f]
        [(x) x]
        [(x y) (􏿴 x y)]
        [(x y z) (􏻿 x y z)]))
> (fun)

#f

> (fun 1)

1

> (fun 1 2)

'(1 2)

> (fun 1 2 3)

'#(1 2 3)

5.12.3 􏸛，􏸚🔗

  • 􏸛: PUA unicode, especially designs for ming-lang.

  • 􏸚: PUA unicode, especially designs for ming-lang.

Examples:
> ((􏸛 􏿴 􏾺分) '("a" "b" "c") 2)

􏸛: undefined;

 cannot reference an identifier before its definition

  in module: top-level

> ((􏸚 句化勺 􏼪) '("a" "b" "c"))

􏸚: undefined;

 cannot reference an identifier before its definition

  in module: top-level

5.12.4 􏸘🔗

􏸘: PUA unicode, especially designs for ming-lang. +

Example:
> ((􏸘 􏿴 '􏿴1) 'a 'b 'c 'd)

'(a b c d)

5.12.5 Base References🔗

 (require ming/racket/base) package: ming

composition

入 : 入 = λ

composition

􏸗 : 入 + 肖 = case-lambda

composition

名 : 名 = define

composition

令 : 令 = let

composition

𡊤 : 𡊤 = apply

composition

禾? : 禾 + ? = procedure?

composition

秝 : 禾 + 禾 = compose

composition

􏸕 : 秝 + 一 = compose1

composition

􏸘 : 禾 + 名 + 攵 = procedure-rename

5.12.6 Additional References🔗

 (require ming/racket/function) package: ming

composition

𥟍 : 禾 + 非 = negate

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\ No newline at end of file diff --git a/racket.css b/racket.css new file mode 100644 index 00000000..85dec2f6 --- /dev/null +++ b/racket.css @@ -0,0 +1,251 @@ + +/* See the beginning of "scribble.css". */ + +/* Monospace: */ +.RktIn, .RktRdr, .RktPn, .RktMeta, +.RktMod, .RktKw, .RktVar, .RktSym, +.RktRes, .RktOut, .RktCmt, .RktVal, +.RktBlk { + font-family: monospace; + white-space: inherit; +} + +/* Serif: */ +.inheritedlbl { + font-family: serif; +} + +/* Sans-serif: */ +.RBackgroundLabelInner { + font-family: sans-serif; +} + +/* ---------------------------------------- */ +/* Inherited methods, left margin */ + +.inherited { + width: 100%; + margin-top: 0.5em; + text-align: left; + background-color: #ECF5F5; +} + +.inherited td { + font-size: 82%; + padding-left: 1em; + text-indent: -0.8em; + padding-right: 0.2em; +} + +.inheritedlbl { + font-style: italic; +} + +/* ---------------------------------------- */ +/* Racket text styles */ + +.RktIn { + color: #cc6633; + background-color: #eeeeee; + white-space: pre; +} + +.RktInBG { + background-color: #eeeeee; +} + +.RktRdr { +} + +.RktPn { + color: #843c24; +} + +.RktMeta { + color: black; +} + +.RktMod { + color: black; +} + +.RktOpt { + color: black; + font-style: italic; +} + +.RktKw { + color: black; +} + +.RktErr { + color: red; + font-style: italic; +} + +.RktVar { + color: #262680; + font-style: italic; +} + +.RktSym { + color: #262680; +} + +.RktSymDef { /* used with RktSym at def site */ +} + +.RktValLink { + text-decoration: none; + color: blue; +} + +.RktValDef { /* used with RktValLink at def site */ +} + +.RktModLink { + text-decoration: none; + color: blue; +} + +.RktStxLink { + text-decoration: none; + color: black; +} + +.RktStxDef { /* used with RktStxLink at def site */ +} + +.RktRes { + color: #0000af; +} + +.RktOut { + color: #960096; +} + +.RktCmt { + color: #c2741f; +} + +.RktVal { + color: #228b22; +} + +/* ---------------------------------------- */ +/* Some inline styles */ + +.together { + width: 100%; +} + +.prototype, .argcontract, .RBoxed { + white-space: nowrap; +} + +.prototype td { + vertical-align: text-top; +} + +.RktBlk { + white-space: inherit; + text-align: left; +} + +.RktBlk tr { + white-space: inherit; +} + +.RktBlk td { + vertical-align: baseline; + white-space: inherit; +} + +.argcontract td { + vertical-align: text-top; +} + +.highlighted { + background-color: #ddddff; +} + +.defmodule { + width: 100%; + background-color: #F5F5DC; +} + +.specgrammar { + float: right; +} + +.RBibliography td { + vertical-align: text-top; +} + +.leftindent { + margin-left: 1em; + margin-right: 0em; +} + +.insetpara { + margin-left: 1em; + margin-right: 1em; +} + +.Rfilebox { +} + +.Rfiletitle { + text-align: right; + margin: 0em 0em 0em 0em; +} + +.Rfilename { + border-top: 1px solid #6C8585; + border-right: 1px solid #6C8585; + padding-left: 0.5em; + padding-right: 0.5em; + background-color: #ECF5F5; +} + +.Rfilecontent { + margin: 0em 0em 0em 0em; +} + +.RpackageSpec { + padding-right: 0.5em; +} + +/* ---------------------------------------- */ +/* For background labels */ + +.RBackgroundLabel { + float: right; + width: 0px; + height: 0px; +} + +.RBackgroundLabelInner { + position: relative; + width: 25em; + left: -25.5em; + top: 0px; + text-align: right; + color: white; + z-index: 0; + font-weight: bold; +} + +.RForeground { + position: relative; + left: 0px; + top: 0px; + z-index: 1; +} + +/* ---------------------------------------- */ +/* History */ + +.SHistory { + font-size: 82%; +} diff --git a/racket_base_others.html b/racket_base_others.html new file mode 100644 index 00000000..4280999a --- /dev/null +++ b/racket_base_others.html @@ -0,0 +1,7 @@ + +5.13 未分类
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.13 未分类
On this page:
5.13.1 同? 􏷇? 􏷆? 􏷈?
5.13.2 遍?
同?
􏷇?
􏷈?
􏷆?
格
写
行写
示
行示
陈
行陈
遍
遍/  􏿴
求
无?
无
山?
报参错
8.13
    contents    up   

5.13 未分类🔗

5.13.1 同? 􏷇? 􏷆? 􏷈?🔗


+

同: means equal in Chinese.
zi
+
􏷇: almost same as 同 other than that 𭕄 implies difference about mutable data.
zi
+
􏷆: the simplification version of 同.
zi
+
􏷈: almost same as 􏷆 other than that 米 implies difference about numbers.
zi

Examples:
> (同? (􏽀 #\a #\b #\c) (􏽀 #\a #\b #\c))

#t

> (同? (􏿴 1 2) (􏿴 1 2))

#t

> (同? (expt 2 100) (expt 2 100))

#t

Examples:
> (􏷇? (􏽀 #\a #\b #\b) (􏽀 #\a #\b #\b))

#f

> (􏷇? (􏽁 #\a #\b #\b) (􏽁 #\a #\b #\b))

#t

> (􏷇? (􏿴 1 2) (􏿴 1 2))

#t

> (􏷇? (expt 2 100) (expt 2 100))

#t

Examples:
> (􏷆? (􏽀 #\a #\b #\c) (􏽀 #\a #\b #\c))

#f

> (􏷆? (􏿴 1 2) (􏿴 1 2))

#f

> (􏷆? (expt 2 100) (expt 2 100))

#f

Examples:
> (􏷈? (􏽀 #\a #\b #\c) (􏽀 #\a #\b #\c))

#f

> (􏷈? (􏿴 1 2) (􏿴 1 2))

#f

> (􏷈? (expt 2 100) (expt 2 100))

#t

5.13.2 遍?🔗


+

Example:
> (遍 ([i (􏿴/数段* 1 5)])
        (行陈 i))

􏿴/数段*: undefined;

 cannot reference an identifier before its definition

  in module: top-level

composition

同? : 同 + ? = equal?

composition

􏷇? : 􏷇 + ? = equal-always?

composition

􏷈? : 􏷈 + ? = eqv?

composition

􏷆? : 􏷆 + ? = eq?

composition

格 : 格 = format

composition

写 : 写 = write

composition

行写 : 行 + 写 = writeln

composition

示 : 示 = print

composition

行示 : 行 + 示 = println

composition

陈 : 陈 = display

composition

行陈 : 行 + 陈 = displayln

composition

遍 : 遍 = for

composition

遍/􏿴 : 遍 + / + 􏿴 = for/list

composition

求 : 求 = eval

composition

无? : 无 + ? = void?

composition

无 : 无 = void

composition

山? : 山 + ? = immutable?

composition

报参错 : 报 + 参 + 错 = raise-argument-error

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\ No newline at end of file diff --git a/racket_library_in_chinese.html b/racket_library_in_chinese.html new file mode 100644 index 00000000..1d8da60e --- /dev/null +++ b/racket_library_in_chinese.html @@ -0,0 +1,2 @@ + +5 Racket Libraries
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
8.13
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5 Racket Libraries🔗

 (require ming/racket/base) package: ming
Racket库的名语言汉化，汉化了的Racket内部库程序应都置于此。

    5.1 双 and 􏿴

      5.1.1 Naming Rules

      5.1.2 双, 㐅, 􏿴, 􏿫, 阴, 阳

      5.1.3 阴阳+-

      5.1.4 􏿝, 􏿜

      5.1.5 攸

      5.1.6 􏼏, 􏼏*

      5.1.7 􏼓, 􏼎

      5.1.8 弔, 弓,弓*, 􏹂, 􏹂*

      5.1.9 􏷜, 􏷛, 􏷚, 􏷙, 􏷘, 􏷗, 􏷖, 􏷕, 􏷔, 􏷓

      5.1.10 末, 􏹨

      5.1.11 巨

      5.1.12 􏾺,𨚞, 􏷵,􏷴, 􏸄,􏸃, 􏾺/入,𨚞/入, 􏾺?

      5.1.13 左􏸑, 左􏸒, 左􏸓

      5.1.14 𰂋，偏，􏾜，重、𠝤

      5.1.15 􏾛、𠆯

      5.1.16 􏹋、􏹉、􏹊~、􏹊^，􏹅，􏹄，􏹌、􏹈，􏹇~、􏹇

      5.1.17 􏹈分，􏹈巨

      5.1.18 􏷒,􏷑, 􏷐,􏷏，􏷎,右􏷎

      5.1.19 􏷑􏹈,􏷑􏿝, 􏷑􏺗、􏷑􏺘

      5.1.20 􏷍/组合、􏷍/排列组合，􏷍/笛卡尔积，􏷍/分组

      5.1.21 ming/racket/base

      5.1.22 ming/racket/list

    5.2 􏻿

      5.2.1 Naming Rules

      5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?

      5.2.3 􏻺 􏻻 􏻹

      5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒

      5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並

      5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝

      5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇

      5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝

      5.2.9 基础例程

      5.2.10 额外例程

    5.3 􏿰

      5.3.1 例程命名规则

      5.3.2 􏿰、􏾌、􏾋、􏾊、􏾉

      5.3.3 􏿰^、􏾋^、􏾊^、􏾉^，􏾏^、􏾁^、􏾀^、􏽿^，􏾈^、􏽽^、􏽼^、􏽻^，􏾐^、􏾆^、􏾅^、􏾄^，􏿰化􏿳

      5.3.4 􏿰?，􏾌?、􏾋?、􏾊?、􏾉?，􏾎?、􏾏?、􏾈?，􏻵?

      5.3.5 􏿰􏺈、􏿰􏺇，􏿰日?

      5.3.6 􏿰弔、􏿰𫼛，􏿰􏽙，􏿰􏾘、􏿰􏽘

      5.3.7 􏿰攸、􏿰攸+，􏿰􏾩、􏿰􏾩+，􏿰攸/入、􏿰􏾩/入

      5.3.8 􏿰𠛮、􏿰􏽗，𠛮􏿰

      5.3.9 􏿰各、􏿰􏺆、􏿰佫

      5.3.10 􏿰􏺈仔?

      5.3.11 􏿰巨

      5.3.12 􏾑化

      5.3.13 基础例程

      5.3.14 额外例程

    5.4 字

      5.4.1 字，字?

      5.4.2 例程

    5.5 勺

      5.5.1 例程命名规则

      5.5.2 勺?、􏺏?、􏺋?，􏺌

      5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋

      5.5.4 基础例程

      5.5.5 额外例程

    5.6 勾

      5.6.1 例程命名规则

      5.6.2 勾?，勾化句、句化勾、勾化􏽁

      5.6.3 基础例程

      5.6.4 额外例程

    5.7 句

      5.7.1 例程命名规则

      5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?

      5.7.3 􏽁化，􏽀化

      5.7.4 􏼅，􏼄

      5.7.5 􏼃，􏼁，􏼂

      5.7.6 􏺕，􏼭，句􏾝

      5.7.7 􏼘，􏼘/以􏾝，􏼅𰅡

      5.7.8 􏼩、􏼪，􏼳、􏼲

      5.7.9 􏼥，􏼝，􏼛

      5.7.10 􏼹?，􏼸?，􏸶?

      5.7.11 􏺔，􏺓，􏺒

      5.7.12 基础例程

      5.7.13 额外例程

    5.8 米

      5.8.1 命名规则

      5.8.2 大类概念：米?，夈?，宩?、􏻟?，粊?、䉾?

      5.8.3 常用概念：􏻴?，𥥪?

      5.8.4 常用概念：􏻛?、􏻚?，􏺧?、􏺦?

      5.8.5 实现概念：釆?、􏻞?、􏻝?，􏻧?、􏺟?

      5.8.6 组合表达：􏻲?，􏺡?

      5.8.7 运算概念：􏽊、􏽉，􏺗、􏺘

      5.8.8 数值修改：􏹚，􏹓、􏹒、􏹑、􏹐

      5.8.9 类型转化：􏻧化、􏺟化、􏻞化、􏻝化，米化句、句化米，宩化􏹔句

      5.8.10 数的类型例程

      5.8.11 数的运算例程

    5.9 􏺃

      5.9.1 􏺃，卩?，􏺃?

      5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵

      5.9.3 转化：􏹲，􏹩，􏹴、􏹳

      5.9.4 基础例程

    5.10 Conditionals

      5.10.1 丫，􏸣、􏸟

      5.10.2 并、戈

      5.10.3 当、肖，夬

      5.10.4 非

      5.10.5 References

    5.11 並

      5.11.1 𰅰，並，𡌶

      5.11.2 References

    5.12 禾

      5.12.1 禾、禾?

      5.12.2 入、􏸗

      5.12.3 􏸛，􏸚

      5.12.4 􏸘

      5.12.5 Base References

      5.12.6 Additional References

    5.13 未分类

      5.13.1 同? 􏷇? 􏷆? 􏷈?

      5.13.2 遍?

    contents    up   
 
\ No newline at end of file diff --git a/rainbow-delimiters.js b/rainbow-delimiters.js new file mode 100644 index 00000000..6202d1eb --- /dev/null +++ b/rainbow-delimiters.js @@ -0,0 +1,192 @@ +console.log("Loading scribble-rainbow-delimiters..."); +console.log("jQuery-" + jQuery().jquery); + +// const colors = [ +// "darkred", +// "#b16286", +// "IndianRed", +// "#7e5e60", +// "#FF1493" +// ] +const colors = [ + "DarkRed", + "firebrick", + "IndianRed", + "LightCoral", + "Salmon", + "DarkSalmon", + "LightSalmon" +] + + +// file:///Applications/Racket%20v8.0/doc/scribble/builtin-css.html?q=elem +const RDBlocks = [ + ".SCodeFlow", + "blockquote.SVInsetFlow" +] + +function getRandomStr() { + return Math.floor(Math.random() * 10000).toString(); +} +function hex(x) { + return ("0" + parseInt(x).toString(16)).slice(-2); +} +function rgb2hex(str) { + rgb = str.match(/^rgb\((\d+),\s*(\d+),\s*(\d+)\)$/); + if (rgb === null) { + return str; + } else { + return "#" + hex(rgb[1]) + hex(rgb[2]) + hex(rgb[3]); + } +} + +function colorizing(RDBlock) { + $(RDBlock).each(function(i) { + if (this.classList.contains("rd-colorized")) { return false; } + if ($(this).find("span.rd-bracket").length) { return false; } + // if (this.innerHTML.match(/(\(|\)|\[|\]|\{|\})/)) { debugger; } + $(this).find("span").each(function(i) { + if (this.innerText.match(/(\(|\)|\[|\]|\{|\})/g)) { + this.innerHTML = this.innerHTML.replace(/(\(|\)|\[|\]|\{|\})/g, function(str) { + return `${str}`; + }); + } + }); + + $(this).addClass("rd-colorized"); + }) + + let recordDepth = 0; + let randomId; + let randomIdds = []; + $(RDBlock).find("span.rd-bracket").each(function(i) { + if (this.className.includes("rd-id-")) { return false; } + if (recordDepth == 0) { randomId = getRandomStr(); } + + if (["(", "[", "{"].includes(this.textContent)) { + let color; + if ($(this).parent()[0].className === "RktVal") { + color = "#228b22"; + } else if ($(this).parent()[0].className === "RktRes") { + color = "#0000af"; + } else if ($(this).parent()[0].className === "RktOpt") { + color = "black"; + } else if ($(this).parent()[0].className === "RktErr") { + color = "red"; + } else { + color = colors[recordDepth % colors.length]; + }; + + let idd = getRandomStr(); randomIdds.push(idd); + $(this).css("color", color); + this.classList.add(`rd-id-${randomId}`); + this.classList.add(`rd-idd-${idd}`); + this.classList.add(`rd-depth-${recordDepth}`); + // this.title = `rd-bk-id/depth: ${randomId}/${recordDepth}` + recordDepth++; + // $(this).css("font-weight", "bolder"); + } + + if ([")", "]", "}"].includes(this.textContent)) { + recordDepth--; + + let color; + if ($(this).parent()[0].className === "RktVal") { + color = "#228b22"; + } else if ($(this).parent()[0].className === "RktRes") { + color = "#0000af"; + } else if ($(this).parent()[0].className === "RktErr") { + color = "red"; + } else { + color = colors[recordDepth % colors.length]; + }; + + let idd = randomIdds.pop(); + $(this).css("color", color); + this.classList.add(`rd-id-${randomId}`); + this.classList.add(`rd-idd-${idd}`); + this.classList.add(`rd-depth-${recordDepth}`); + // this.title = `rd-bk-id/depth: ${randomId}/${recordDepth}` + } + }); +} + +function findClosestElms(elm) { + let matchingStr = elm.textContent; + let matchingArr; + switch(matchingStr) { + case '(': + case ')': + matchingArr = ['(', ')']; + break; + case '[': + case ']': + matchingArr = ['[', ']']; + break; + case '{': + case '}': + matchingArr = ['{', '}']; + break; + } + + let classNames = elm.className.split(" "); + let rdDepth = classNames.find(function(e) { return e.startsWith("rd-depth-") }); + let depthNum = rdDepth.split("-").pop(); + let rdId = classNames.find(function(e) { return e.startsWith("rd-id-") }); + let rdIdd = classNames.find(function(e) { return e.startsWith("rd-idd-") }); + let parentElm = elm.closest(".rd-colorized").parentElement; + let cousinElms = $(parentElm).find(`span.${rdDepth}.${rdId}`).not(`span.${rdIdd}`).filter(function(ii) { + return matchingArr.includes(this.textContent); + }); + let brotherElms = $(parentElm).find(`span.${rdDepth}.${rdId}.${rdIdd}`).filter(function(ii) { + return matchingArr.includes(this.textContent); + }); + return [ brotherElms, cousinElms ]; +} + +/////// actions ///////// +handler = function main() { + // highlight jumping + $(`a[name="${decodeURIComponent(location.hash.substr(1))}"]`).parent().css("background", "lightyellow"); + $(`a[name="${decodeURIComponent(location.hash.substr(1))}"]`).next().css("background", "yellow"); + $(window).on("hashchange", function() { + oldURL = new URL(event.oldURL); + newURL = new URL(event.newURL); + oldHash = oldURL.hash.substr(1); + newHash = newURL.hash.substr(1); + oldHashDecoded = decodeURIComponent(oldHash); + newHashDecoded = decodeURIComponent(newHash); + console.log(newHashDecoded); + $(`a[name="${oldHashDecoded}"]`).parent().css("background", "transparent"); + $(`a[name="${oldHashDecoded}"]`).next().css("background", "transparent"); + $(`a[name="${newHashDecoded}"]`).parent().css("background", "lightyellow"); + $(`a[name="${newHashDecoded}"]`).next().css("background", "yellow"); + }); + + RDBlocks.forEach(function(e) { + if ($(e).length) { colorizing(e); } + }); + + $("span.rd-bracket").mouseover(function(i) { + console.log(this.classList); + let color = rgb2hex(this.style.color); + if (color == "white") { return false }; + if (!color.length) { return console.log(`mouseover on an unexpected rd-bracket element: ${this.outerHTML}`); } + [ brotherElms, cousinElms ] = findClosestElms(this); + brotherElms.css("color", "white"); + brotherElms.css("background", color); + cousinElms.css("background", "#E0E0E0"); // whitesmoke gainsboro + }); + + $("span.rd-bracket").mouseleave(function(i) { + let color = rgb2hex(this.style.backgroundColor); + if (color == "transparent") { return false }; + if (!color.length) { return console.log(`mouseleave on an unexpected rd-bracket element: ${this.outerHTML}`); } + [ brotherElms, cousinElms ] = findClosestElms(this); + brotherElms.css("color", color); + brotherElms.css("background", "transparent"); + cousinElms.css("background", "transparent"); + }); +} + +$(document).ready(function() { $( handler ); }); diff --git a/rationle.html b/rationle.html new file mode 100644 index 00000000..cc9558f9 --- /dev/null +++ b/rationle.html @@ -0,0 +1,3 @@ + +1 Rationale
▼Ming Language
►1 Rationale
On this page:
1.1 Lisp and its parenthsis
1.2 Chineseoid characters
1.3 Character implications
8.13
    contents    up   

1 Rationale🔗

ref to: http://www.yanying.wang/SOICOL

1.1 Lisp and its parenthsis🔗

Lisp, as an ancient programming language, when I was learning it with inherent ideas from modern programming languages such as Ruby, I noticed there are a few distinctions. Among them, The most prominent one is the form.

LISP is highly flat in forms, all are parenthesis. On the contrary, most modern PLs adhere to use different forms for different operations: +

Operation

Ruby code

Racket code

number addition

1+2+3

(+ 1 2 3)

create array

[1, 2, 3]

(vector 1 2 3)

create hash

{a: 1, b: 2, c: 3}

(hash 'a 1 'b 2)

create array of a range of numbers

Array(1..5)

(build-list 5 values)

create array of duplication elements

Array.new(3, 1)

(make-list 3 1)

By the examples above, we can see in Ruby, different operations are wrote in distinctive forms, but in Racket they are in same form: elements in one parenthesis. This each other resembled form of LISP impedes people differentiate them on a glimpse, therefore, the meaning of operations are more blamed on the function names(first word of elements in parenthesis).

In conclusion, the function names of LISP take more responsibilities to annotate various operations than modern PLs. The more informations that function names show to us, the better we can distinguish them and understand the purpose and usage of them.

1.2 Chineseoid characters🔗

Compare to English, of which the writing is based on the pronounciation of speaking, Chinese contrarily emphasize its writing more than speaking, which has actually developed a way to write related objects and concepts, we call it LiuShu(六书).

With the fact that chinese characters are just the implementation of using LiuShu for the communication of human, what I am doing here is using it to invent and design lots of chinese resembled characters, where we draw the phrase chineseoid characters, which especially is also called zi, means looking like chinese characters but can not be recognized by most Chinese people.

At last, we use those characters instead of common English words for the concepts of Lisp and even the whole programming language world to make human interact better with it.

Ming code

Racket code

(双 'a 'b)

(cons 'a 'b)

(􏿴 'a 'b 'c 'd)

(list 'a 'b 'c 'd)

(􏿝 '(1) '(2) '(3 4) '(5 6))

(append '(1) '(2) '(3 4) '(5 6))

(􏿜 '(1) '(2) '(3 4) '((5 6)))

(append* '(1) '(2) '(3 4) '((5 6)))

(􏼓 6 'foo)

(make-list 6 'foo)

(􏼎 10 並)

(build-list 10 values)

(弓 '(a b c d e c f) 'c)

(index-of '(a b c d e c f) 'c)

(􏼏 10)

(range 10)

(􏻿 'a 'b 'c 'd)

(vector 'a 'b 'c 'd)

(􏿰 'a 'b 'c 'd)

(hash 'a 'b 'c 'd)

As chart shown above, the keywords of Ming are much short in length, and in forms the complex characters are usually constituted by other simpler characters, and those simpler characters are usually used for related function names as well.

Further more, the connotations behind the characters work the same way, they are related to each other and complex concepts are broke to simple concepts as well.

Most importantly, the chineseoid characters implemented here also have the ability to imply to human about the arguments and results of functions, check Naming Rules for more.

1.3 Character implications🔗

Since the chineseoid chracters are much complicated than general western characters, there are few terminologies we need to know in advance: radical, component, part(check the wiktionary page for details).

Simply put it, phrase is composed by more than one characters, character is composed by more than on parts. For the parts of an specific character, only one of them can be counted as radical, which usually is another standalone character that provides the basic meaning for the specific character, and the other one can be counted as component, which usually implies the difference(type of input, type of output, etc.) between the meaning of radical and the specific character.

Take example of the procedure 伄, this character is composed of two parts: 亻 as component and 弔 as radical. By composition, we can deduce that this procedure has a similar usage as 弔 since it is the radical. And the 亻 additionally means the type of output data is list(read Naming Rules for more).

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\ No newline at end of file diff --git a/scribble-common.js b/scribble-common.js new file mode 100644 index 00000000..bd9c245b --- /dev/null +++ b/scribble-common.js @@ -0,0 +1,153 @@ +// Common functionality for PLT documentation pages + +// Page Parameters ------------------------------------------------------------ + +var page_query_string = location.search.substring(1); +const page_args = new URLSearchParams(location.search); + +function GetPageArg(key, def) { + return page_args.get(key) || def; +} + +function MergePageArgsIntoLink(a) { + if (page_args.size === 0 || !a.dataset.pltdoc) return; + a.href = MergePageArgsIntoUrl(a.href); +} + +function MergePageArgsIntoUrl(href) { + const url = new URL(href, window.location.href); + for (const [key, val] of page_args) { + if (url.searchParams.has(key)) continue; + url.searchParams.append(key, val) + } + return url.href; +} + +// Cookies -------------------------------------------------------------------- + +// Actually, try localStorage (a la HTML 5), first. + +function GetCookie(key, def) { + try { + var v = localStorage[key]; + if (!v) v = def; + return v; + } catch (e) { + var i, cookiestrs; + try { + if (document.cookie.length <= 0) return def; + cookiestrs = document.cookie.split(/; */); + } catch (e) { return def; } + for (i = 0; i < cookiestrs.length; i++) { + var cur = cookiestrs[i]; + var eql = cur.indexOf('='); + if (eql >= 0 && cur.substring(0,eql) == key) + return unescape(cur.substring(eql+1)); + } + return def; + } +} + +function SetCookie(key, val) { + try { + localStorage[key] = val; + } catch(e) { + var d = new Date(); + d.setTime(d.getTime()+(365*24*60*60*1000)); + try { + document.cookie = + key + "=" + escape(val) + "; expires="+ d.toGMTString() + "; path=/"; + } catch (e) {} + } +} + +// note that this always stores a directory name, ending with a "/" +function SetPLTRoot(ver, relative) { + var root = location.protocol + "//" + location.host + + NormalizePath(location.pathname.replace(/[^\/]*$/, relative)); + SetCookie("PLT_Root."+ver, root); +} + +// adding index.html works because of the above +function GotoPLTRoot(ver, relative) { + var u = GetCookie("PLT_Root."+ver, null); + if (u == null) return true; // no cookie: use plain up link + // the relative path is optional, default goes to the toplevel start page + if (!relative) relative = "index.html"; + location = u + relative; + return false; +} + +// Utilities ------------------------------------------------------------------ + +var normalize_rxs = [/\/\/+/g, /\/\.(\/|$)/, /\/[^\/]*\/\.\.(\/|$)/]; +function NormalizePath(path) { + var tmp, i; + for (i = 0; i < normalize_rxs.length; i++) + while ((tmp = path.replace(normalize_rxs[i], "/")) != path) path = tmp; + return path; +} + +// `noscript' is problematic in some browsers (always renders as a +// block), use this hack instead (does not always work!) +// document.write(""); + +// Interactions --------------------------------------------------------------- + +function DoSearchKey(event, field, ver, top_path) { + var val = field.value; + if (event && event.key === 'Enter') { + var u = GetCookie("PLT_Root."+ver, null); + if (u == null) u = top_path; // default: go to the top path + u += "search/index.html?q=" + encodeURIComponent(val); + u = MergePageArgsIntoUrl(u); + location = u; + return false; + } + return true; +} + +function TocviewToggle(glyph, id) { + var s = document.getElementById(id).style; + var expand = s.display == "none"; + s.display = expand ? "block" : "none"; + glyph.innerHTML = expand ? "▼" : "►"; +} + +function TocsetToggle() { + document.body.classList.toggle("tocsetoverlay"); +} + +// Page Init ------------------------------------------------------------------ + +// Note: could make a function that inspects and uses window.onload to chain to +// a previous one, but this file needs to be required first anyway, since it +// contains utilities for all other files. +var on_load_funcs = []; +function AddOnLoad(fun) { on_load_funcs.push(fun); } +window.onload = function() { + for (var i=0; i + .techinside doesn't work with IE, so use both (and IE doesn't + work with inherit in the second one, so use blue directly) */ +.techinside { color: black; } +.techinside:hover { color: blue; } +.techoutside:hover>.techinside { color: inherit; } + +.SCentered { + text-align: center; +} + +.imageleft { + float: left; + margin-right: 0.3em; +} + +.Smaller { + font-size: 82%; +} + +.Larger { + font-size: 122%; +} + +/* A hack, inserted to break some Scheme ids: */ +.mywbr { + display: inline-block; + height: 0; + width: 0; + font-size: 1px; +} + +.compact li p { + margin: 0em; + padding: 0em; +} + +.noborder img { + border: 0; +} + +.SVerbatim { + white-space: nowrap; +} + +.SAuthorListBox { + position: relative; + float: right; + left: 2em; + top: -2.5em; + height: 0em; + width: 13em; + margin: 0em -13em 0em 0em; +} +.SAuthorList { + font-size: 82%; +} +.SAuthorList:before { + content: "by "; +} +.author { + display: inline; + white-space: nowrap; +} + +/* print styles : hide the navigation elements */ +@media print { + .tocset, + .navsettop, + .navsetbottom { display: none; } + .maincolumn { + width: auto; + margin-right: 13em; + margin-left: 0; + } +} + +/** Begin headings */ + +/* Hide the button group by default, but show them on hovering the heading title */ +.button-group { + padding-left: 0.3em; + visibility: hidden; + position: absolute; +} +.heading:hover > .button-group { + visibility: visible; +} + +.button-group > a { + margin: 0 0.25em; +} + +.button-group > a, .button-group > a:hover { + text-decoration: none; +} + +.heading-anchor { + font-size: 60%; + /* A trick to color an emoji from https://stackoverflow.com/questions/32413731/color-for-unicode-emoji */ + color: transparent; + text-shadow: 0 0 0 gray; + vertical-align: 5%; +} + +.heading-source { + visibility: hidden; +} diff --git a/startup.html b/startup.html new file mode 100644 index 00000000..12e38ebc --- /dev/null +++ b/startup.html @@ -0,0 +1,5 @@ + +2 Startup
▼Ming Language
►2 Startup
On this page:
2.1 Fonts and Input method
2.2 Code highlight for Emacs editor
2.3 GGFSM
8.13
    contents    up   

2 Startup🔗

2.1 Fonts and Input method🔗

To make Ming-Language work, we have two major things need to do: +

  1. to show chineseoid characters, install cangjie font to your OS；

  2. to input chineseoid characters, install rime input method and use asdfzma scheme;(check rime_custom for an out-of-the-box config)

2.2 Code highlight for Emacs editor🔗

git clone https://github.com/yanyingwang/racket-mode-for-ming and then add below code： +
(use-package racket-mode
  :load-path "your-cloned-code-dir/racket-mode-for-ming"
)

2.3 GGFSM🔗

As a demonstation, GGFSM is a website draw gua graph for stocks, most code of this project are wrote in the Ming-Lang flavor: +https://github.com/yanyingwang/ggfsm

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\ No newline at end of file diff --git a/string.html b/string.html new file mode 100644 index 00000000..dff74796 --- /dev/null +++ b/string.html @@ -0,0 +1,36 @@ + +5.7 句
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.7 句
On this page:
5.7.1 例程命名规则
5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?
5.7.3 􏽁化，􏽀化
5.7.4 􏼅，􏼄
5.7.5 􏼃，􏼁，􏼂
5.7.6 􏺕，􏼭，句􏾝
5.7.7 􏼘，􏼘/  以􏾝，􏼅𰅡
5.7.8 􏼩、􏼪，􏼳、􏼲
5.7.9 􏼥，􏼝，􏼛
5.7.10 􏼹?，􏼸?，􏸶?
5.7.11 􏺔，􏺓，􏺒
5.7.12 基础例程
句?
句
􏼅
􏽁化
􏺕
􏼭
􏼘
句􏾝
􏽀化
􏼘/  以􏾝
􏼅𰅡
􏼃
􏼁
􏼳
􏼲
􏼄
句=?
句<?
句<=?
句>?
句>=?
句ci=?
句ci<?
句ci<=?
句ci>?
句ci>=?
􏺔
􏺓
􏺒
􏺓*
5.7.13 额外例程
􏼂
􏼪
􏼩
􏼛
􏼥
􏼝
􏼟?
􏸶?
􏼹?
􏼸?
8.13
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5.7 句🔗

另见名扩展库：句

“句”（String）就是通常所说的“字符串”数据结构，名语言用单字表示之称为“句”。

5.7.1 例程命名规则🔗

见Naming Rules，有：

规则

指示

含义

举例

下偏旁句

指示出参

出参是句结构

句、􏽀、􏼅、􏼄、􏼃、􏼂

右偏旁句

指示出参

出参是句结构

􏼪、􏼲

左偏旁句

指示入参

入参是句结构

􏺕、􏼭、􏼩、􏼳、􏼥、􏼝、􏼛、􏺔、􏺓、􏺒

5.7.2 句、􏽀、􏽁，句?、􏽀?、􏽁?，􏼟?🔗


+

句为活用字
+􏽁为新造字
+􏽀为新造字 +

  • 勹：工厂、容器、外壳；（勹是丩的增笔，有扭曲盘勾之意思）

  • 口：无实意，代表"数据内容"；

  • 山：稳定的、内容不变的（因为“山”是稳定的，见：􏽁?）；

  • 氵：易动的、内容可变的（因为“水”是易变的，见：􏽀?）；

  • 上下结构的穴+非：非空。

参见：􏻼、􏻽

另见：勺、勾，􏻷?

像􏻿和􏿰一样，“句”按内容是否可以被修改，也可以被分为：“易句”和“固句”（简写为“􏽁”和“􏽀”）。句默认创建的是“􏽀”，通过英文双引号（""）创建的则是“􏽁”。 +

Examples:
> (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。)

"鹅鹅鹅，曲项向天歌。"

> (句? (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

#t

> (􏽀? (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

#t

> (􏽁? (􏽁 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

#t

> (􏽁? "鹅鹅鹅，曲项向天歌。")

#t

> (句? "鹅鹅鹅，曲项向天歌。")

#t

> (􏼟? "鹅鹅鹅")

#t

> (􏼟? "")

#f

5.7.3 􏽁化，􏽀化🔗


+

Examples:
> (􏽁? (􏽁化 (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。)))

#t

> (􏽀? (􏽀化 "鹅鹅鹅，曲项向天歌。"))

#t

5.7.4 􏼅，􏼄🔗


+

􏼅为新造字
+􏼄为新造字

参见：􏼓，􏼎。

Examples:
> (􏼅 5 #\鹅)

"鹅鹅鹅鹅鹅"

> (􏼄 5 数化字)

"\u0000\u0001\u0002\u0003\u0004"

5.7.5 􏼃，􏼁，􏼂🔗


+

􏼃为新造字
+􏼂为新造字
+􏼁为新造字 +

  • 申：“贯穿”的意思；

  • 山：见：􏽁；

  • 毌+又：“贯穿”的意思，且末尾数据是􏿴。

参见：􏼓，􏼎。

Examples:
> (􏼃 "AAA" "BBB" "CCC")

"AAABBBCCC"

> (􏼁 "AAA" "BBB" "CCC")

"AAABBBCCC"

> (􏼂 "AAA" "BBB" '("CCC" "DDD"))

"AAABBBCCCDDD"

> (􏽁? (􏼃 "AAA" "BBB" "CCC"))

#f

> (􏽁? (􏼁 "AAA" "BBB" "CCC"))

#t

> (􏽁? (􏼂 "AAA" "BBB" '("CCC" "DDD")))

#f

5.7.6 􏺕，􏼭，句􏾝🔗


+

􏺕为新造字
+􏼭为新造字
+

  • 巨：“测量长度”的意思，参见：巨；

  • 弔：“第”的意思，参见：弔；

参见：巨，弔，􏾝，􏻿􏾝

Examples:
> (􏺕 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。")

22

> (􏼭 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" 3)

#\，

> (句􏾝 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" 3)

"，曲项向天歌。白毛浮绿水，红掌拨清波。"

> (句􏾝 "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" 3 8)

"，曲项向天"

5.7.7 􏼘，􏼘/以􏾝，􏼅𰅡🔗


+

􏼘为新造字
+𰅡为古活字
+

  • 扌：“!”的意思；

另见：􏼅

参见：攸、􏻿􏾩、􏿰􏾩，􏻿􏾩/以􏾝

Examples:
> (名 str (句 #\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))
> (􏼘 str 1 #\白)
> str

"鹅白鹅，曲项向天歌。"

> (􏼘/以􏾝 str 0 "ABCDEFG" 2 4)
> str

"CD鹅，曲项向天歌。"

> (􏼅𰅡 str #\Z)
> str

"ZZZZZZZZZZ"

5.7.8 􏼩、􏼪，􏼳、􏼲🔗


+

􏼩为新造字
+􏼪为新造字
+􏼳为新造字
+􏼲为新造字 +

  • 子：字的简写（见：字）；

  • 上下结构的又+㐅：􏿴；

  • 上下结构的又+子：组成元素是“字”的􏿴；

  • 􏼩：把句转化为􏿴；

  • 􏼳：把句转化为组成元素是字的􏿴；

  • 􏼪：把􏿴转化为句；

  • 􏼲：把组成元素是字的􏿴转化为句。

Examples:
> (􏼪 '("鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌"))

"鹅 鹅 鹅 ， 曲 项 向 天 歌"

> (􏼪 '("鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌") "")

"鹅鹅鹅，曲项向天歌"

> (􏼪 '("鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌") "-")

"鹅-鹅-鹅-，-曲-项-向-天-歌"

> (􏼩 "鹅鹅鹅，曲项向天歌")

'("鹅鹅鹅，曲项向天歌")

> (􏼩 "鹅鹅鹅，曲项向天歌" "")

'("" "鹅" "鹅" "鹅" "，" "曲" "项" "向" "天" "歌" "")

> (􏼩 "鹅鹅鹅，曲项向天歌" "，")

'("鹅鹅鹅" "曲项向天歌")

> (􏼩 "鹅-鹅-鹅-曲-项-向-天-歌" "-")

'("鹅" "鹅" "鹅" "曲" "项" "向" "天" "歌")

> (􏼲 '(#\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。))

"鹅鹅鹅，曲项向天歌。"

> (􏼳 "鹅鹅鹅，曲项向天歌。")

'(#\鹅 #\鹅 #\鹅 #\， #\曲 #\项 #\向 #\天 #\歌 #\。)

5.7.9 􏼥，􏼝，􏼛🔗


+

􏼥为新造字
+􏼝为新造字
+􏼛为新造字 +

  • 戈：本意是“兵器”，引申为“修改、替换”之意；

  • 匕：本意是“匕首”，引申为“修剪、删除”之意；

  • 穴：空的简写；

  • 上下结构的丷+匕：修剪起始处和结尾处；

  • 上下结构的穴+一：将相连的多个空格单一化成一个。

Examples:
> (􏼥 "鹅鹅鹅，曲项向天歌。" "鹅鹅鹅" "小黄鸭")

"小黄鸭，曲项向天歌。"

> (􏼥 "鹅鹅鹅，曲项向天歌。" "鹅" "")

"，曲项向天歌。"

> (􏼥 "\n\r鹅鹅鹅，\n\r曲项向天歌。\n\r\n\r" "\n\r" "")

"鹅鹅鹅，曲项向天歌。"

> (􏼝 "\n\r鹅鹅鹅，\n\r曲项向天歌。\n\r\n\r")

"鹅鹅鹅，\n\r曲项向天歌。"

> (􏼝 "鹅鹅鹅，曲项向天歌。" "鹅鹅鹅")

"，曲项向天歌。"

> (􏼛 "鹅  鹅    鹅   \n \n 曲项向天歌 \n\r")

"鹅 鹅 鹅 曲项向天歌"

5.7.10 􏼹?，􏼸?，􏸶?🔗


+

􏼹为新造字
+􏼸为新造字
+

  • 本：本意是“树根”，在此引申为“起始、开头”之意；

  • 末：本意是“树梢”，在此引申为“结尾、末尾”之意；

  • 干：本意是“枝干”，在此引申为“中间、包含”之意；

Examples:
> (􏼹? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "鹅鹅鹅")

#t

> (􏼸? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "拨清波。")

#t

> (􏸶? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "鹅鹅鹅")

#t

> (􏸶? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "拨清波。")

#t

> (􏸶? "鹅鹅鹅，曲项向天歌。白毛浮绿水，红掌拨清波。" "白毛")

#t

5.7.11 􏺔，􏺓，􏺒🔗


+

􏺔为新造字
+􏺓为新造字
+􏺒为新造字 +

  • 与：写的简写；

Examples:
> (􏺔 "string upper case")

"STRING UPPER CASE"

> (􏺓 "string lower case")

"string lower case"

> (􏺒 "string title case")

"String Title Case"

5.7.12 基础例程🔗

composition

句? : 句 + ? = string?

composition

句 :  = string

composition

􏼅 : elem + 构造内容是若干个相同元素的 + needtofix = make-string

composition

􏽁化 : elem + 把 + needtofix + 转变为 + needtofix

 = string->immutable-string

composition

􏺕 :  = string-length

composition

􏼭 :  = string-ref

composition

􏼘 : elem + 直接修改原始数据第N处字（从0算起）为某字 = string-set!

composition

句􏾝 : elem + 返回句第N到M处内容组成的 + needtofix = substring

composition

􏽀化 : elem + 把 + needtofix + 转化为 + needtofix = string-copy

composition

􏼘/以􏾝 : elem + 从第N处字（从0算起）开始做覆盖（以另一个句的 + needtofix + 结果为内容）

 = string-copy!

composition

􏼅𰅡 :  = string-fill!

composition

􏼃 : elem + 把很多句连成一个 + needtofix = string-append

composition

􏼁 : elem + 把很多句连成一个 + needtofix = string-append-immutable

composition

􏼳

 : elem + 句化字􏿴：把 + needtofix + 转化为 + needtofix + （由 + needtofix + 组成）
 = string->list

composition

􏼲

 : elem + 字􏿴化句：把 + needtofix + （由 + needtofix + 组成）转化为 + needtofix
 = list->string

composition

􏼄 : elem + 构造内容是一系列序数转化成 + needtofix + 所组成的 + needtofix

 = build-string

composition

句=? : 句 + = + ? = string=?

composition

句<? : 句 + < + ? = string<?

composition

句<=? : 句 + < + = + ? = string<=?

composition

句>? : 句 + > + ? = string>?

composition

句>=? : 句 + > + = + ? = string>=?

composition

句ci=? : 句 + c + i + = + ? = string-ci=?

composition

句ci<? : 句 + c + i + < + ? = string-ci<?

composition

句ci<=? : 句 + c + i + < + = + ? = string-ci<=?

composition

句ci>? : 句 + c + i + > + ? = string-ci>?

composition

句ci>=? : 句 + c + i + > + = + ? = string-ci>=?

composition

􏺔 : elem + 将句大写化 = string-upcase

composition

􏺓 : elem + 将句小写化 = string-downcase

composition

􏺒 : elem + 将句中单词首字母大写化其余小写化 = string-titlecase

composition

􏺓* : elem + 将句中单词做CaseFolding处理 = string-foldcase

 (require ming/racket/base) package: ming

5.7.13 额外例程🔗

 (require ming/racket/string) package: ming

composition

􏼂 : elem + 类 + needtofix + ，不过最后一个句是 + needtofix

 = string-append*

composition

􏼪 :  = string-join

composition

􏼩 :  = string-split

composition

􏼛 :  = string-normalize-spaces

composition

􏼥 :  = string-replace

composition

􏼝 : elem + 修剪句 = string-trim

composition

􏼟? : elem + 非空句? = non-empty-string?

composition

􏸶? : elem + 某句是否是某句中间的一部分 = string-contains?

composition

􏼹? : elem + 某句是否是某句起头的一部分 = string-prefix?

composition

􏼸? : elem + 某句是否是某句末尾的一部分 = string-suffix?

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\ No newline at end of file diff --git a/symbols.html b/symbols.html new file mode 100644 index 00000000..0b8dc19e --- /dev/null +++ b/symbols.html @@ -0,0 +1,8 @@ + +5.5 勺
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.5 勺
On this page:
5.5.1 例程命名规则
5.5.2 勺?、􏺏?、􏺋?，􏺌
5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋
5.5.4 基础例程
勺?
􏺏?
􏺋?
勺化句
句化勺
句化􏺍
句化􏺋
􏺌
5.5.5 额外例程
勺化􏽁
8.13
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5.5 勺🔗

“勺”（symbols）是一种跟句类似的数据结构，但是它更广泛的在Racket语言的内部实现中被使用。

5.5.1 例程命名规则🔗

见Naming Rules中关于化和土的条目。

5.5.2 勺?、􏺏?、􏺋?，􏺌🔗


+

勺为古活字
+􏺋为新造字
+􏺍为新造字 +

  • 勹：工厂、容器、外壳；

  • 一：数据内容；

  • 罒：目；

  • 曰：不可读的（仿罒得造）；

  • 由：自由的；

  • 勺：因为外形和勾、句相近，在此借用为表示勺是和它们相近的一种数据结构；

“勺”可以被细分为：“􏺏”（interned）、“􏺋”（unreadable/partially interned）、“􏺍”（uninterned）。 +

Examples:
> (勺? 'symbol)

#t

> (􏺏? 'symbol)

#t

> (􏺋? 'symbol)

#f

> (􏺌 'symbol)

'symbol5818

> (􏺏? (􏺌 'symbol))

#f

5.5.3 转化例程：勺化􏽁、勺化句、句化勺、句化􏺍、句化􏺋🔗


+

Examples:
> (勺化􏽁 'symbol)

"symbol"

> (勺化句 'symbol)

"symbol"

> (句化勺 "string")

'string

> (句化􏺍 "string")

'string

> (句化􏺋 "string")

'string

5.5.4 基础例程🔗

 (require ming/racket/base) package: ming

composition

勺? :  = symbol?

composition

􏺏? :  = symbol-interned?

composition

􏺋? :  = symbol-unreadable?

composition

勺化句 :  = symbol->string

composition

句化勺 :  = string->symbol

composition

句化􏺍 :  = string->uninterned-symbol

composition

句化􏺋 :  = string->unreadable-symbol

composition

􏺌 :  = gensym

5.5.5 额外例程🔗

 (require ming/racket/symbol) package: ming

composition

勺化􏽁 :  = symbol->immutable-string

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\ No newline at end of file diff --git a/syntax.html b/syntax.html new file mode 100644 index 00000000..30ce8ec0 --- /dev/null +++ b/syntax.html @@ -0,0 +1,18 @@ + +5.9 􏺃
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.9 􏺃
On this page:
5.9.1 􏺃，卩?，􏺃?
5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵
5.9.3 转化：􏹲，􏹩，􏹴、􏹳
5.9.4 基础例程
􏺃
􏺃?
卩?
􏹷
􏹸
􏹹
􏹾
􏹵
?syntax-original?
?􏺃司
􏹲
􏹩
􏹴
􏹳
?syntax-binding-set?
?syntax-binding-set
?syntax-binding-set->syntax
?syntax-binding-set-extend
?datum-intern-literal
?syntax-shift-phase-level
?generate-temporaries
?identifier-prune-lexical-context
?identifier-prune-to-source-module
?syntax-recertify
?syntax-debug-info
8.13
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5.9 􏺃🔗

“􏺃”（syntax object）是Racket编程语言构建其语言的基石。

5.9.1 􏺃，卩?，􏺃?🔗


+“􏺃”其实就是通俗意义上的“代码”，而“代码”究其本质而言是封装了“词法信息”和“位置信息”的“数据”。“卩”（identifier）可以看作是“􏺃”的极简单特例。

卩为古活字
+􏺃为新造字
+

  • 卩：节的古字，本意是“瑞信，古代出使等用作凭证之物”，引申为“语法，包含了上下文信息的数据”；

  • 厂：工厂，容器，内容。

Examples:
> (􏺃? #'(+ 1 2))

#t

> (􏺃? #'(+ 1 2))

#t

> (􏺃? #'1)

#t

> (卩? #'1)

#f

5.9.2 位置信息：􏹷，􏹸、􏹹，􏹾，􏹵🔗


+“􏺃”中的“位置信息”我们用单字“元”来表示，“元”包括：“􏹷”（地址）、“􏹾”（位置）、“􏹹”（经度（第几行））、“􏹸”（纬度（第几列））、“􏹵”（所占用的空间（长度））。 +

􏹷为新造字
+􏹹为新造字
+􏹸为新造字
+􏹾为新造字
+􏹵为新造字
+

  • 止：本意是“足”，在此为“地址”的意思；

  • 􏹹：第几列，仿经字得造；

  • 􏹸：第几行，仿纬字得造；

  • 􏹾：第几位；

Examples:
> (􏹷 #'a)

'eval

> (􏹹 #'a)

0

> (􏹸 #'a)

3

> (􏹾 #'a)

4

> (􏹵 #'a)

1

5.9.3 转化：􏹲，􏹩，􏹴、􏹳🔗


+“数据”我们用单字“文”来表示，此如􏿴?、􏻿?、􏿰?、句?、勺?等数据结构所构造出的数据都是“文”。 “文”添加上“词法信息”和“位置信息”就组成了“􏺃”，而“􏺃”剥离掉“词法信息”和“位置信息”就余下“文”了。 +

􏹲为新造字
+􏹩为新造字
+􏹴为新造字
+􏹳为新造字
+

  • 􏹲：􏺃+解各取偏旁得造；

  • 􏹩：􏺃+􏿴各取偏旁得造；

  • 􏹴：􏺃+文各取偏旁得造；

  • 􏹴：文+􏺃各取偏旁得造；

另见：􏼩、􏼳、􏼪、􏼲

Examples:
> (􏹲 #'a)

'a

> (􏹲 #'(a b c))

'(#<syntax:eval:2:0 a> #<syntax:eval:2:0 b> #<syntax:eval:2:0 c>)

> (􏹩 #'(a b c))

'(#<syntax:eval:3:0 a> #<syntax:eval:3:0 b> #<syntax:eval:3:0 c>)

> (􏹴 #'(a b c))

'(a b c)

> (􏹳 #f '(a b c))

#<syntax (a b c)>

5.9.4 基础例程🔗

 (require ming/racket/base) package: ming

composition

􏺃 : elem + 生成代码 = syntax

composition

􏺃? : elem + 代码（包含了词法信息和位置信息的数据） = syntax?

composition

卩? : 卩 + ? = identifier?

composition

􏹷 : elem + 地址，比如是文件路径 = syntax-source

composition

􏹸 : elem + 所在文件的具体哪一行（纬是横向的，参见“纬线”一词） = syntax-line

composition

􏹹 : elem + 所在文件的具体哪一列（经是竖向的，参见“经线”一词） = syntax-column

composition

􏹾 : elem + 所在文件的第几位 = syntax-position

composition

􏹵 : elem + 所占用的长度（从0算起） = syntax-span

composition

?syntax-original?

 : ? + s + y + n + t + a + x + - + o + r + i + g + i + n + a + l + ?
 = syntax-original?

composition

?􏺃司 : ? + 􏺃 + 司 = syntax-source-module

composition

􏹲 : elem + 以解开􏺃的方式转化成文（（原料数据）） = syntax-e

composition

􏹩 : elem + 􏺃化􏿴 = syntax->list

composition

􏹴 : elem + 􏺃化文（将􏺃转化成文（原料数据）） = syntax->datum

composition

􏹳 : elem + 文化􏺃 = datum->syntax

composition

?syntax-binding-set?

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t + ?
 = syntax-binding-set?

composition

?syntax-binding-set

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t
 = syntax-binding-set

composition

?syntax-binding-set->syntax

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t + - + > + s + y + n + t + a + x
 = syntax-binding-set->syntax

composition

?syntax-binding-set-extend

 : ? + s + y + n + t + a + x + - + b + i + n + d + i + n + g + - + s + e + t + - + e + x + t + e + n + d
 = syntax-binding-set-extend

composition

?datum-intern-literal

 : ? + d + a + t + u + m + - + i + n + t + e + r + n + - + l + i + t + e + r + a + l
 = datum-intern-literal

composition

?syntax-shift-phase-level

 : ? + s + y + n + t + a + x + - + s + h + i + f + t + - + p + h + a + s + e + - + l + e + v + e + l
 = syntax-shift-phase-level

composition

?generate-temporaries

 : ? + g + e + n + e + r + a + t + e + - + t + e + m + p + o + r + a + r + i + e + s
 = generate-temporaries

composition

?identifier-prune-lexical-context

 : ? + i + d + e + n + t + i + f + i + e + r + - + p + r + u + n + e + - + l + e + x + i + c + a + l + - + c + o + n + t + e + x + t
 = identifier-prune-lexical-context

composition

?identifier-prune-to-source-module

 : ? + i + d + e + n + t + i + f + i + e + r + - + p + r + u + n + e + - + t + o + - + s + o + u + r + c + e + - + m + o + d + u + l + e
 = identifier-prune-to-source-module

composition

?syntax-recertify

 : ? + s + y + n + t + a + x + - + r + e + c + e + r + t + i + f + y
 = syntax-recertify

composition

?syntax-debug-info

 : ? + s + y + n + t + a + x + - + d + e + b + u + g + - + i + n + f + o
 = syntax-debug-info

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\ No newline at end of file diff --git a/values.html b/values.html new file mode 100644 index 00000000..cec66b68 --- /dev/null +++ b/values.html @@ -0,0 +1,2 @@ + +5.11 並
►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.11 並
On this page:
5.11.1 𰅰，並，𡌶
5.11.2 References
並
𡌶0
􏸾
􏸽
8.13
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5.11 並🔗

Racket’s value is especially called 𰅰 in ming-lang.

Racket’s Multiple Values is especially called 並 in ming-lang.

5.11.1 𰅰，並，𡌶🔗

🐘 􏸾、􏸽

  • 𰅰: simplifies for 值, which means value in modern chinese.
    zi

  • 並: simplifies for 竝 in ancient chinese, means two or more than two objects as a whole, especially means multiple values in ming-lang. (Not confuse with 并).
    zi

Examples:
> (並 1 2 3 4)

1

2

3

4

> (𡌶 􏿴 (􏸧 (並 1 2 3 4)))

'(1 2 3 4)

5.11.2 References🔗

 (require ming/racket/base) package: ming

composition

並 : 並 = values

composition

𡌶0 : 𡌶 + 0 = call-with-values

composition

􏸾 : elem + needtofix + + + needtofix = define-values

composition

􏸽 : elem + needtofix + + + needtofix = let-values

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►Ming Language
▼5 Racket Libraries
5.1 双 and 􏿴
5.2 􏻿
5.3 􏿰
5.4 字
5.5 勺
5.6 勾
5.7 句
5.8 米
5.9 􏺃
5.10 Conditionals
5.11 並
5.12 禾
5.13 未分类
►5.2 􏻿
On this page:
5.2.1 Naming Rules
5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?
5.2.3 􏻺 􏻻 􏻹
5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒
5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並
5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝
5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇
5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/  以􏾝
5.2.9 基础例程
􏻿
􏻿?
􏻺
􏻼
􏻿巨
􏻿弔
􏻿􏾩
􏻿化􏿴
􏿴化􏻿
􏻼化
􏻺𰅡
􏻿𢪛/  以􏾝
􏻿􏾝化並
􏻻
5.2.10 额外例程
􏻸?
􏻿𢪛
􏻿􏷑
􏻿􏷉
􏻹
􏻿􏾺
􏻿𨚞
􏻿􏷵
􏻿􏷴
􏻿􏸄
􏻿􏸃
􏻿􏾝
􏻿􏹈
􏻿􏹇
􏻿􏹈巨
􏻿􏷑􏺗
􏻿􏷑􏺘
􏻿弓
􏻿弓/  􏾗
􏻿弓/  􏾃
􏻿𠆯
􏻿􏽒
8.13
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5.2 􏻿🔗

Originates from Vectors and Extends to 􏻿.

5.2.1 Naming Rules🔗

To extend Naming Rules, specifically there are：

Character

Connotation

Elucidation

Example

扌 as component

direct modification

directly modify the orignal data and return void

􏻿􏾩 􏻿􏽒 􏻿􏷉

Phrase

–

–

–

prefixed with 􏻿

􏻿 as input

implies the type of input data is 􏻿

􏻿巨 􏻿弔 􏻿𠆯

suffixed with 化

minor type convertion

implies slightly convert the type of input data, i.e. from mutable to immutable.

􏻼化

inserted with 化

type convertion

implies convert the type of input data, i.e. from 􏻿 to 􏿴.

􏻿化􏿴 􏿴化􏻿

5.2.2 􏻿 􏻽 􏻼, 􏻿? 􏻽? 􏻼?, 􏻸?🔗


+
􏻿: 矢: originally means arrow, especially means vector. 十, originally means ten, especially means fixed length. .
zi
+
􏻽: 𭕄: is the horizontal way to write 氵, which is simplified from 水, originally means water, especially means mutable(水?).
zi
+
􏻼: 山: originally means mountain, especially means immutable(山?).
zi
+
􏻸: 穴.
zi
+

Examples:
> (􏻽 1 2 3 4)

'#(1 2 3 4)

> (􏻽? (􏻽 1 2 3 4))

#t

> (􏻼 1 2 3 4)

'#(1 2 3 4)

> (􏻼? (􏻼 1 2 3 4))

#t

> (􏻽? (􏻿 1 2 3 4))

#t

> (􏻼? '#(1 2 3 4))

#t

> (􏻿? (􏻿 1 2 3 4))

#t

> (􏻿? (􏻽 1 2 3 4))

#t

> (􏻿? (􏻼 1 2 3 4))

#t

> (􏻸? (􏻿))

#t

> (􏻸? #())

#t

5.2.3 􏻺 􏻻 􏻹🔗

🐘 􏼓 􏼎 􏿝

Examples:
> (􏻺 5 'foo)

'#(foo foo foo foo foo)

> (􏻻 5 􏽊)

'#(1 2 3 4 5)

> (􏻹 '#(1) '#(2) '#(3) '#(4))

'#(1 2 3 4)

5.2.4 􏻿巨, 􏻿弔, 􏻿𠆯 􏻿􏽒🔗

🐘 巨 弔 𠆯

Examples:
> (􏻿巨 '#(1 2 3 4))

4

> (􏻿弔 '#(a b c d) 2)

'c

> (􏻿𠆯 '#(1 222 35 4) <)

'#(1 4 35 222)

> (􏻿􏽒 (􏻿 1 222 35 4) <)

5.2.5 􏻼化, 􏻿化􏿴 􏿴化􏻿 􏻿􏾝化並🔗

🐘 􏻼 􏻿􏾝

Examples:
> (􏻼化 '#(a b c d))

'#(a b c d)

> (􏿴化􏻿 '(a b c d))

'#(a b c d)

> (􏻿化􏿴 '#(a b c d))

'(a b c d)

> (􏻿􏾝化並 '#(a b c d) 0 2)

'a

'b

5.2.6 􏻿􏾺 􏻿􏷵 􏻿􏸄 􏻿􏾝🔗

🐘 􏾺 􏸄 􏾝

Examples:
> (􏻿􏾺 '#(a b c d e f) 2)

'#(a b)

> (􏻿􏷵 '#(a b c d e f) 2)

'#(c d e f)

> (􏻿􏸄 '#(a b c d e f) 2)

'#(a b)

'#(c d e f)

> (􏻿􏾝 '#(a b c d e f) 0 2)

'#(a b)

5.2.7 􏻿弓, 􏻿􏷑 􏻿􏷉, 􏻿􏹈 􏻿􏹇🔗

🐘 弓 􏷑 􏹇

Examples:
> (􏻿弓 'c '#(a b 1 c 2 d 3 e))

3

> (􏻿􏷑 􏽊 '#(1 2 3 4))

'#(2 3 4 5)

> (􏻿􏹈 􏻛? '#(1 2 -3 4))

'#(1 2 4)

> (􏻿􏹇 􏻛? '#(1 2 -3 4))

'#(-3)

> (名 vec (􏻿 1 2 3 4))
> (􏻿􏷉 􏽊 vec)

'#(2 3 4 5)

> vec

'#(2 3 4 5)

5.2.8 􏻿􏾩 􏻿𢪛, 􏻺𰅡, 􏻿𢪛/以􏾝🔗

🐘 􏾝 攸

🐘 􏻿􏾝

Examples:
> (名 vec (􏻿 'a 'b 'c 'd))
> vec

'#(a b c d)

> (􏻿􏾩 vec 1 'x)
> vec

'#(a x c d)

> (􏻿𢪛 vec 1 'h 2 'i 3 'j)
> vec

'#(a h i j)

> (􏻺𰅡 vec 'z)
> vec

'#(z z z z)

> (􏻿𢪛/以􏾝 vec 0 '#(aa bb cc dd) 1 3)
> vec

'#(bb cc z z)

5.2.9 基础例程🔗

 (require ming/racket/base) package: ming

composition

􏻿 : 矢 + 十 = vector

composition

􏻿? : 􏻿 + ? = vector?

composition

􏻺 : 三 + 􏻿 = make-vector

composition

􏻼 : 山 + 􏻿 = vector-immutable

composition

􏻿巨 : 􏻿 + 巨 = vector-length

composition

􏻿弔 : 􏻿 + 弔 = vector-ref

composition

􏻿􏾩 : 􏻿 + 􏾩 = vector-set!

composition

􏻿化􏿴 : 􏻿 + 化 + 􏿴 = vector->list

composition

􏿴化􏻿 : 􏿴 + 化 + 􏻿 = list->vector

composition

􏻼化 : 􏻼 + 化 = vector->immutable-vector

composition

􏻺𰅡 : 􏻺 + 𰅡 = vector-fill!

composition

􏻿𢪛/以􏾝 : 􏻿𢪛 + / + 以􏾝 = vector-copy!

composition

􏻿􏾝化並 : 􏻿􏾝 + 化 + 並 = vector->values

composition

􏻻 : 弓 + 􏻿 = build-vector

5.2.10 额外例程🔗

 (require ming/racket/vector) package: ming

composition

􏻸? : 􏻸 + ? = vector-empty?

composition

􏻿𢪛 : 􏻿 + 𢪛 = vector-set*!

composition

􏻿􏷑 : 􏻿 + 􏷑 = vector-map

composition

􏻿􏷉 : 􏻿 + 􏷉 = vector-map!

composition

􏻹 : 毌 + 􏻿 = vector-append

composition

􏻿􏾺 : 􏻿 + 􏾺 = vector-take

composition

􏻿𨚞 : 􏻿 + 𨚞 = vector-take-right

composition

􏻿􏷵 : 􏻿 + 􏷵 = vector-drop

composition

􏻿􏷴 : 􏻿 + 􏷴 = vector-drop-right

composition

􏻿􏸄 : 􏻿 + 􏸄 = vector-split-at

composition

􏻿􏸃 : 􏻿 + 􏸃 = vector-split-at-right

composition

􏻿􏾝 : 􏻿 + 􏾝 = vector-copy

composition

􏻿􏹈 : 􏻿 + 􏹈 = vector-filter

composition

􏻿􏹇 : 􏻿 + 􏹇 = vector-filter-not

composition

􏻿􏹈巨 : 􏻿 + 􏹈 + 巨 = vector-count

composition

􏻿􏷑􏺗 : 􏻿 + 􏷑 + 􏺗 = vector-argmin

composition

􏻿􏷑􏺘 : 􏻿 + 􏷑 + 􏺘 = vector-argmax

composition

􏻿弓 : 􏻿 + 弓 = vector-member

composition

􏻿弓/􏾗 : 􏻿弓 + / + 􏾗 = vector-memv

composition

􏻿弓/􏾃 : 􏻿弓 + / + 􏾃 = vector-memq

composition

􏻿𠆯 : 􏻿 + 𠆯 = vector-sort

composition

􏻿􏽒 : 􏻿 + 􏽒 = vector-sort!

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