Shikugawa

#include <iostream>
#include <string>
#include <thread>
#include <atomic>
#include <unistd.h>
#include <mutex>

std::atomic<bool> end_flag = false;
std::atomic<bool> out_flag = false;
std::atomic<double> current_time = 0;

Shikugawa

#include <bits/stdc++.h>

using namespace std;

template <class T>
class Node
{
public:
  Node(T value_, Node *parent_ = nullptr) : value(value_), parent(parent_)
  {

Shikugawa

def merge(left, right)
  merged = []
  first_index = 0
  second_index = 0
  while first_index < left.length || second_index < right.length 
    if first_index == left.length
      merged << right[second_index]
      second_index += 1
      next
    end

Shikugawa

#include <iostream>
#include <array>
#include <cmath>

template<typename T, typename U, size_t DATA_NUM>
using dataType = std::array<std::pair<T, U>, DATA_NUM>;

template<typename Array = std::array<double, 2>>
using Array = Array;

Shikugawa

const fs = require('fs');
const twitter = require('twitter');
const redis = require('redis');

class RedisClient {
  constructor() {
    this.client = redis.createClient();
    this.key = "medium";
  }

Shikugawa

from keras.models import Sequential
from keras.layers import Convolution2D, MaxPooling2D
from keras.layers import Dense, Dropout, Flatten
from keras.utils import np_utils
from keras.datasets import mnist
from keras.callbacks import TensorBoard
import keras.backend.tensorflow_backend as KTF
import tensorflow as tf
import numpy as np

Shikugawa

from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation
from keras.layers.recurrent import LSTM
from keras.utils import np_utils
from keras.callbacks import ModelCheckpoint
from sklearn.model_selection import train_test_split
from sklearn import preprocessing
import GPy, GPyOpt
import pandas as pd
import numpy as np

Shikugawa

#
# This is the server logic of a Shiny web application. You can run the 
# application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
# 
#    http://shiny.rstudio.com/
#

library(shiny)

Shikugawa

#
# This is the user-interface definition of a Shiny web application. You can
# run the application by clicking 'Run App' above.
#
# Find out more about building applications with Shiny here:
# 
#    http://shiny.rstudio.com/
#

library(shiny)

Shikugawa

Z <- sqrt(input$dispersion)*sqrt(-2*log(runif(sample)))*cos(2*pi*runif(sample))+input$mean