Tamgu函数式、命令式与逻辑一体化编程语言

Tamgu（탐구）是一个函数式、命令式与逻辑一体化（FIL，Functional、Imperative、Logical）的编程语言，主要用于注解和数据扩充。

Tamgu 是一种多线程编程语言，特征包括：

• 接近 Python 的命令式风格，但具有强大的类型系统。
• 受 Haskell 启发的函数式风格，可自由地与命令式范式相结合。
• 由 Prolog 启发的逻辑风格，可以自由地与命令式和函数式范式相结合。

使用 Tamgu，可以对于编程中的每个特定问题，选择最合适的形式，并自由地混合函数式、命令式和逻辑方法，以实现最具表现力但最紧凑的代码。

此外，Tamgu 还提供了一个注解语言实现，它提供了一个结合了词汇和规则的综合规则机制，允许以有效的方式检测文本中的复杂模式。它提供了许多功能，同时也提供了许多库，有助于设计和实现复杂文档的注解方案。

Code Example

//An imperative language

int i=10;
string s="20";
------------------------------------------------------------------------------------
//Containers

map m = {'a':1, 'b':2}; //all sorts of containers
treemap t = {"u":10, 'v':'toto'};
vector v = [1,2,3,"a","b"];
ivector iv = [1..10]; //iv = [1,2,3,4,5,6,7,8,9,10]
iv = [1,3..10]; //iv = [1,3,5,9]
------------------------------------------------------------------------------------
//Functions, threads and frames

function mycall(int i, string s) {...} //functions
thread mythread(int i, string s) {...} //threads
frame myclass {...} //class definition
------------------------------------------------------------------------------------
//Native Korean string support

s="에버랜드 알쏭달쏭 Quiz";
if (s[0].ishangul()) println("Ok");
uvector dec = s.jamo(); //['ᄋ','ᅦ','ᄇ','ᅥ','ᄅ','ᅢ','ᆫ','ᄃ','ᅳ'...]
dec = s.romanization(); //['-/ng','e','b','eo','r/l','ae','n','d',...]
------------------------------------------------------------------------------------
//Functional approach based on Haskell

ivector iv = [1..20]; //a list of integers between 1 and 20
iv.shuffle(); //The order of the elements is now random.

;  //if the list is empty, we return an empty "list"
), //we sort the list with elements smaller than fv
    let maxlist = fastsort(fv) v>)>; //we sort the list with elements larger than fv

//we can call a functional definition as regular code
v=fastsort(iv); 

------------------------------------------------------------------------------------
//Predicates

concat([],?X,?X).
concat([?H|?T],?Y, [?H|?Z]) :- concat(?T,?Y,?Z).

//You can mix freely your predicate definition with some regular tamgu code
v=concat(["english",'russian',"french"],['spanish'],?L);
println(v); //["english",'russian',"french","spanish"]

注解示例

//We define some lexical rules (starting with a "@")
@food <- burger.
@food <- tartare.


//Our rule: if "the food" word is found in a sentence, then we return a "meal" label 
meal <- "the", #food.

//We need a specific object to scan a sentence
annotator r;

//a sentence
string 
vector v = r.parse(sentence); 

//Result: v =  [['meal',[10,16]],['meal',[25,32]]]
//It reads: two 'meal' were found at position 10-16 and position 25-32...