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TAMGU (탐구): A FIL Language
TAMGU is a FIL programming language: Functional, Imperative and Logical.
TAMGU is a multithreaded programming language that provides:
- an imperative formalism close to Python, but with a strong and powerful type system.
- a functional formalism inspired by Haskell, which can freely mix with the imperative paradigm
- a logical formalism inspired by Prolog, which can freely mix with the imperative and functional paradigms
For each specific problem in your programming, choose the most appropriate formalism and freely mix functional, imperative and logical approaches to implement the most expressive but also the most compact code possible.
Annotation
TAMGU provides also an annotation language implementation (see below for an example), which allows for an efficient way to detect complex patterns in text.
The language provides many features but also many libraries, which helps design and implement annotation schemes for complex documents.
Code Example
Below is an example of the kind of code that you can implement with Tamgu.
//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.
<fastsort([]) = []>; //if the list is empty, we return an empty "list"
<fastsort([fv:v]) = minlist &&& fv &&& maxlist where //we merge the different list...
let minlist = fastsort(<filter (<=fv) v>), //we sort the list with elements smaller than fv
let maxlist = fastsort(<filter (>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"]
Annotation Example
Tamgu also provides an integrated rule mechanism, which combines both lexicons and rules to detect complex patterns in texts.
//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 sentence="Here, the burger and the tartare are delicious.";
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...
Documentation
Pre-compiled Releases
Note: Releases for Windows, Mac OS and Linux are available at: https://github.com/naver/tamgu/releases
Docker
We also provide a Dockerfile, together with precompiled versions of Tamgu and its libraries for Ubuntu 22.04.
Move into the docker directory. You can then create your own docker image with the command:
docker build -t tamgu-interpreter .
To execute the docker:
docker run -it tamgu-interpreter
Examples
Examples are available both as a folder: https://github.com/naver/tamgu/tree/master/examples or as an archive in: https://github.com/naver/tamgu/releases/tag/tamgu.examples.
Compiling
The TAMGU project has been implemented in C++. It can be compiled on most platforms:
- Windows: see https://github.com/naver/tamgu/wiki/1.1-Compiling-on-Windows
- Mac OS: see https://github.com/naver/tamgu/wiki/1.2-Compiling-on-Mac-OS
- Linux: see https://github.com/naver/tamgu/wiki/1.3-Compiling-on-Linux
Libraries
Tamgu also provides different libraries:
Compiling libraries: https://github.com/naver/tamgu/wiki/1.4-Compiling-libraries-(Linux-&-Mac-OS)
Windows requirements for: libsound and libwapti
These two libraries need the following DLL on Windows, which you can obtained from: http://www.mingw.org
libgcc_s_sjlj-1.dll
libltdl-7.dll
libstdc++-6.dll
libwinpthread-1.dll
Python
Furthermore, Tamgu provides a bi-directional library, which can be used to execute Tamgu code from Python (and conversely, Python code in Tamgu)
See: https://github.com/naver/tamgu/wiki/1.5-Compiling-Python for more information
License
BSD 3-Clause License
Copyright (c) 2019-present NAVER Corp.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
3. Neither the name of Naver Corporation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
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