kabeer11000

#!/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

krypton-byte

import re
import requests
import js2py
def getContent(url):
    javascript=js2py.EvalJs()
    javascript.eval(requests.get(re.search("(https?://.*?\.[a-zA-Z0-9.]{0,20})",url).group(1)+"/aes.js").text)
    return requests.get(url, headers={"Cookie":javascript.eval(re.search("\<script\>(fu.*?;)\<", requests.get(url).text).group(1).replace("document.cookie", "cookie").replace("location.", "")+"cookie")})

print(getContent("http://krypton-byte.byethost5.com/"))

kabeer11000

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)

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() {

kabeer11000

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

andy0130tw

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

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

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)

naoki-sawada

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

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

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"]