The idea of caching items for fast retrieval goes back nearly to the beginning of the computer science. We also use that idea and use a LRU cache for storing morphological analyses of surface forms. Before analyzing a surface form, we first look up to the cache, and if there is an hit, we just take the analyses from the cache. If there is a miss, we analyze the surface form and put the morphological analyses of that surface form in the LRU cache. As can be expected, the speed of the caching mechanism surely depends on the size of the cache.
You can also see Java, Python, Cython, Swift, Php, C, C#, or C++ repository.
To check if you have a compatible version of Node.js installed, use the following command:
node -v
You can find the latest version of Node.js here.
Install the latest version of Git.
npm install nlptoolkit-datastructure
In order to work on code, create a fork from GitHub page. Use Git for cloning the code to your local or below line for Ubuntu:
git clone <your-fork-git-link>
A directory called util will be created. Or you can use below link for exploring the code:
git clone https://github.com/starlangsoftware/datastructure-js.git
Steps for opening the cloned project:
- Start IDE
- Select File | Open from main menu
- Choose
DataStructure-Jsfile - Select open as project option
- Couple of seconds, dependencies will be downloaded.
CounterHashMap bir veri tipinin kaç kere geçtiğini hafızada tutmak için kullanılmaktadır.
Bir CounterHashMap yaratmak için
a = CounterHashMap()
Hafızaya veri eklemek için
put(key: K)
Örneğin,
a.put("ali")
Bu aşamanın ardından "ali" nin sayacı 1 olur.
Hafızaya o veriyi birden fazla kez eklemek için
putNTimes(key: K, N: number)
Örneğin,
a.putNTimes("veli", 5)
Bu aşamanın ardından "ali"'nin sayacı 5 olur.
Hafızada o verinin kaç kere geçtiğini bulmak için
count(key: K): number
Örneğin, "veli" nin kaç kere geçtiğini bulmak için
kacKere = a.count("veli")
Bu aşamanın ardından kacKere değişkeninin değeri 5 olur.
Hafızada hangi verinin en çok geçtiğini bulmak için
max(threshold: number = 0.0): K | undefined
Örneğin,
kelime = a.max()
Bu aşamanın ardından kelime "veli" olur.
LRUCache veri cachelemek için kullanılan bir veri yapısıdır. LRUCache en yakın zamanda kullanılan verileri öncelikli olarak hafızada tutar. Bir LRUCache yaratmak için
LRUCache(cacheSize: number)
kullanılır. cacheSize burada cachelenecek verinin büyüklüğünün limitini göstermektedir.
Cache'e bir veri eklemek için
add(key: K, data: T)
kullanılır. data burada eklenecek veriyi, key anahtar göstergeyi göstermektedir.
Cache'de bir veri var mı diye kontrol etmek için
contains(key: K): boolean
kullanılır.
Cache'deki veriyi anahtarına göre getirmek için
get(key: K): T | null
kullanılır.
- main and types are important when this package will be imported.
"main": "dist/index.js",
"types": "dist/index.d.ts",
- Dependencies should be maximum (not only direct but also indirect references should also be given), everything directly in the code should be given here.
"dependencies": {
"nlptoolkit-corpus": "^1.0.12",
"nlptoolkit-dictionary": "^1.0.14",
"nlptoolkit-morphologicalanalysis": "^1.0.19",
"nlptoolkit-xmlparser": "^1.0.7"
}
- Compiler flags currently includes nodeNext for importing.
"compilerOptions": {
"outDir": "dist",
"module": "nodeNext",
"sourceMap": true,
"noImplicitAny": true,
"removeComments": false,
"declaration": true,
},
- tests, node_modules and dist should be excluded.
"exclude": [
"tests",
"node_modules",
"dist"
]
- Should include all ts classes.
export * from "./CategoryType"
export * from "./InterlingualDependencyType"
export * from "./InterlingualRelation"
export * from "./Literal"
- Add data files to the project folder. Subprojects should include all data files of the parent projects.
- Classes should be defined as exported.
export class JCN extends ICSimilarity{
- Do not forget to comment each function.
/**
* Computes JCN wordnet similarity metric between two synsets.
* @param synSet1 First synset
* @param synSet2 Second synset
* @return JCN wordnet similarity metric between two synsets
*/
computeSimilarity(synSet1: SynSet, synSet2: SynSet): number {
- Function names should follow caml case.
setSynSetId(synSetId: string){
- Write getter and setter methods.
getRelation(index: number): Relation{
setName(name: string){
- Use standard javascript test style.
describe('SimilarityPathTest', function() {
describe('SimilarityPathTest', function() {
it('testComputeSimilarity', function() {
let turkish = new WordNet();
let similarityPath = new SimilarityPath(turkish);
assert.strictEqual(32.0, similarityPath.computeSimilarity(turkish.getSynSetWithId("TUR10-0656390"), turkish.getSynSetWithId("TUR10-0600460")));
assert.strictEqual(13.0, similarityPath.computeSimilarity(turkish.getSynSetWithId("TUR10-0412120"), turkish.getSynSetWithId("TUR10-0755370")));
assert.strictEqual(13.0, similarityPath.computeSimilarity(turkish.getSynSetWithId("TUR10-0195110"), turkish.getSynSetWithId("TUR10-0822980")));
});
});
});
- Enumerated types should be declared with enum.
export enum CategoryType {
MATHEMATICS, SPORT, MUSIC, SLANG, BOTANIC,
PLURAL, MARINE, HISTORY, THEOLOGY, ZOOLOGY,
METAPHOR, PSYCHOLOGY, ASTRONOMY, GEOGRAPHY, GRAMMAR,
MILITARY, PHYSICS, PHILOSOPHY, MEDICAL, THEATER,
ECONOMY, LAW, ANATOMY, GEOMETRY, BUSINESS,
PEDAGOGY, TECHNOLOGY, LOGIC, LITERATURE, CINEMA,
TELEVISION, ARCHITECTURE, TECHNICAL, SOCIOLOGY, BIOLOGY,
CHEMISTRY, GEOLOGY, INFORMATICS, PHYSIOLOGY, METEOROLOGY,
MINERALOGY
}
- If there are multiple constructors for a class, define them as constructor1, constructor2, ..., then from the original constructor call these methods.
constructor1(symbol: any){
constructor2(symbol: any, multipleFile: MultipleFile) {
constructor(symbol: any, multipleFile: MultipleFile = undefined) {
if (multipleFile == undefined){
this.constructor1(symbol);
} else {
this.constructor2(symbol, multipleFile);
}
}
- Importing should be done via import method with referencing the node-modules.
import {Corpus} from "nlptoolkit-corpus/dist/Corpus";
import {Sentence} from "nlptoolkit-corpus/dist/Sentence";
- Use xmlparser package for parsing xml files.
var doc = new XmlDocument("test.xml")
doc.parse()
let root = doc.getFirstChild()
let firstChild = root.getFirstChild()