rajvanshipradeep15

<?php
/**
 * TimThumb by Ben Gillbanks and Mark Maunder
 * Based on work done by Tim McDaniels and Darren Hoyt
 * http://code.google.com/p/timthumb/
 * 
 * GNU General Public License, version 2
 * http://www.gnu.org/licenses/old-licenses/gpl-2.0.html
 *
 * Examples and documentation available on the project homepage

hex13

//License CC0 1.0: https://creativecommons.org/publicdomain/zero/1.0/

class Deferred extends React.Component {
    constructor(props) {
        super(props);
        this.state = {
            value: ''
        };
    }
    componentDidMount() {

jayphelps

{
  "scripts": {
    "build": "npm run build:es2015 && npm run build:esm && npm run build:cjs && npm run build:umd && npm run build:umd:min",
    "build:es2015": "tsc --module es2015 --target es2015 --outDir dist/es2015",
    "build:esm": "tsc --module es2015 --target es5 --outDir dist/esm",
    "build:cjs": "tsc --module commonjs --target es5 --outDir dist/cjs",
    "build:umd": "rollup dist/esm/index.js --format umd --name YourLibrary --sourceMap --output dist/umd/yourlibrary.js",
    "build:umd:min": "cd dist/umd && uglifyjs --compress --mangle --source-map --screw-ie8 --comments --o yourlibrary.min.js -- yourlibrary.js && gzip yourlibrary.min.js -c > yourlibrary.min.js.gz",
  }
}

rahman541

ES6 Setup

npm init -y
npm i --save-dev nodemon
npm add babel-preset-env babel-cli

Create a .babelrc config in your project root. Insert the following

{
 "presets": ["env"]

naoki-sawada

const io = require('socket.io-client');

const socket = io('http://localhost:3000', {
  transportOptions: {
    polling: {
      extraHeaders: {
        'Authorization': 'Bearer abc',
      },
    },
  },

khuangaf

class NeuMF(torch.nn.Module):
    def __init__(self, config):
        super(NeuMF, self).__init__()

        #mf part
        self.embedding_user_mf = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mf)
        self.embedding_item_mf = torch.nn.Embedding(num_embeddings=self.num_items, embedding_dim=self.latent_dim_mf)
        
        #mlp part
        self.embedding_user_mlp = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mlp)

dmorrison42

#!/usr/bin/env python
# Dependencies:
#     ffmpeg: https://www.ffmpeg.org/download.html
#     fpcalc: https://acoustid.org/chromaprint
from datetime import datetime
import os
import os.path
import json
import math
import shutil

andy0130tw

'use strict';
!function() {
  /**
   * @return {?}
   */
  function t$jscomp$0() {
    return "cf-marker-" + Math.random().toString().slice(2);
  }
  /**
   * @return {undefined}

kabeer11000

const a = [{
  'id': '1',
  'name': 'a1'
}, {
  'id': '2',
  'name': 'a2'
}, {
  'id': '3',
  'name': 'a3'
}];

kabeer11000

//License CC0 1.0: https://creativecommons.org/publicdomain/zero/1.0/

class Deferred extends React.Component {
    constructor(props) {
        super(props);
        this.state = {
            value: ''
        };
    }
    componentDidMount() {