CVertex

import keras
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout, TimeDistributedDense
from keras.layers.recurrent import LSTM, SimpleRNN

def build_model(num_layers=2, num_units=256, maxlen_rnn=50, dim_label=50):
    ''' 
    num_layers: in [2, 3]
    num_units: in [256, 512, 1024]

CVertex

public class DeliminatorSeparatedPropertyNamesContractResolver : DefaultContractResolver
{
    private readonly string _separator;

    protected DeliminatorSeparatedPropertyNamesContractResolver(char separator) : base(true)
    {
        _separator = separator.ToString();
    }

    protected override string ResolvePropertyName(string propertyName)

CVertex

// Visit https://spotifycharts.com/regional and run the following in console
var ts = '';
$('div[data-type=country] ul li').each(function(i,val) {
    ts += 'new Market("' + $(val).text() + '","' + $(val).attr("data-value").toUpperCase() + '"),' + " ";
});
console.log(ts);

CVertex

public static Bitmap LinearGradient(Image source, Color leftColor, Color rightColor)
{

    // Create the gradient 
    //using (var grad = new )

    // Mutate the source
    using (Graphics graphics = Graphics.FromImage(source))
    {
        Rectangle bounds = new Rectangle(0, 0, source.Width, source.Height);

CVertex

// srcColor:Color, destColor:Color

// We're converting everything to doubles [0,1.0], then performing multiply
// then converting back to byte
// These conversions are slow
var sr = Convert.ToDouble(srcColor.R) / 255.0;
var sg = Convert.ToDouble(srcColor.G) / 255.0;
var sb = Convert.ToDouble(srcColor.B) / 255.0;

CVertex

public class OverlayWithLinearGradient : IGraphicsProcessor
    {
        public OverlayWithLinearGradient()
        {
            this.DynamicParameter = Tuple.Create(Color.PaleVioletRed, Color.CornflowerBlue);
            this.Settings = new Dictionary<string, string>();
        }


        public dynamic DynamicParameter

CVertex

function debounce(fn, debounceDuration){
    // summary:
    //      Returns a debounced function that will make sure the given 
    //      function is not triggered too much.
    // fn: Function
    //      Function to debounce.
    // debounceDuration: Number
    //      OPTIONAL. The amount of time in milliseconds for which we 
    //      will debounce the function. (defaults to 100ms)

CVertex

var scores = [];

$('.kluster-fields').find('.numeric').each(function() {
   var r = $(this);
   var name = r.find('span:first').text().replace(":","");
   var val = parseFloat(r.find('strong').text());
   //console.log(name + ' ' + val);
   var s = {name:name,score:val};
   scores.push(s);
});

CVertex

import UIKit

struct Person {
    let name: String
    let city: String
}

let people = [
    Person(name: "Chris", city: "Berlin"),
    Person(name: "Natasha", city: "Tokyo"),

CVertex

var text = ''; 
$('.itc-tester-view tbody tr').each(function(index, el) { 
  var email = el.querySelector('td:nth-child(2) span:first-child').innerText;
  var name = el.querySelector('.sorted > span').innerText.split(' ');
  
  text = text + name[0] + ', ' + name[1] + ', ' + email+'\n';
}); 
var a = document.createElement("a"); 
var file = new Blob([text], {type: 'text/csv'}); 
a.href = URL.createObjectURL(file);