Skip to content

Instantly share code, notes, and snippets.

import {filterMap, includes, upperCaseOf, replace, map} from '@7urtle/lambda';
const itsATortoise = replace('TORTOISE')('TURTLE');
const composedMapper = compose(itsATortoise, upperCaseOf);
// the same as const mapper = a => itsATortoise(upperCaseOf(a));
const animals = ['Russian Turtle', 'Greek Turtle', 'House Cat'];
const onlyTurtles = includes('Turtle');
#include <stdio.h>
int main()
{
int num1, num2, num3;
int *p1, *p2, *p3;
//taking input from user
printf("Enter First Number: ");
scanf("%d",&num1);
printf("Enter Second Number: ");
public interface Retile {
void walk();
}
public class Turtle implements Reptile {
@Override
public void walk() {
System.out.println("Turtle is walking!");
}
}
SELECT e.name, m.name FROM Employee e, Employee m WHERE e.Employee_id=m.Manager_id;
const myComponent = props => (
<h1>Hello, {props.userName}</h1>
};
food(salad). % <- salad is food fact
food(pizza). % <- pizza is food fact
?- food(salad). % <- is salad food? True
?- food(turtle). % <- is turtle food? False
import {upperCaseOf, trim, map, compose, Maybe} from '@7urtle/lambda';
const getElement = selector => Maybe.of(document.querySelector(selector));
const getText = element => element.textContent;
const transformer = compose(trim, upperCaseOf);
const getElementText = compose(map(transformer), map(getText), getElement);
getElementText('#myTurtle'); // => Maybe('SHELLY')
const core = require('@nlpjs/core');
const nlp = require('@nlpjs/nlp');
const langenmin = require('@nlpjs/lang-en-min');
const requestrn = require('@nlpjs/request-rn');
window.nlpjs = { ...core, ...nlp, ...langenmin, ...requestrn };
{
"name": "nlpjs-web",
"version": "1.0.0",
"scripts": {
"build": "browserify ./buildable.js | terser --compress --mangle > ./dist/bundle.js",
},
"devDependencies": {
"@nlpjs/core": "^4.14.0",
"@nlpjs/lang-en-min": "^4.14.0",
"@nlpjs/nlp": "^4.15.0",
<html>
<head>
<title>NLP in a browser</title>
<script src='./dist/bundle.js'></script>
<script>
const {containerBootstrap, Nlp, LangEn, fs} = window.nlpjs;
const setupNLP = async corpus => {
const container = containerBootstrap();
container.register('fs', fs);