sasamijp sasamijp

## Penis.java
public class Penis {
  public static void main (String[] args) {
		int n = 0;
		while (n <= 1000) {
		    System.out.println("チンポ");
		     n++;
		}
	}
}

## main.cpp
#include <iostream>
#include "./Eigen/Core"

using namespace std;
using namespace Eigen;

class NN {
private:
  float reactified_linear(float u){
    return u * (u > 0);

## index.html
<!doctype html>
<html>
<head>
    <title>Self Camera</title>
    <meta charset="utf-8">
    <script src="https://code.createjs.com/easeljs-0.7.1.min.js"></script>
    <script src="https://code.jquery.com/jquery-1.11.0.min.js"></script>
</head>
<body>

## recognize.py
# coding=utf-8

# get_segment.pyで生成したセグメントを読み込み, 輪郭点の数と結合重みを振って認識率を確かめる実験を行うスクリプト

import numpy as np
import cv2
from matplotlib import pyplot as plt
from collections import Counter


## get_segment.py
# coding=utf-8

# 画像を読み込んでセグメント(接続順に並んだ輪郭点)を出力するスクリプト

import numpy as np
import cv2


def get_hand_image_bg(imgfile):
    img = cv2.imread(imgfile)

## bot.rb
# -*- encoding: utf-8 -*-
require 'rubygems'
require 'tweetstream'
require 'twitter'
require 'prime'
require 'date'
require './key.rb'

Twitter.configure do |config|
   config.consumer_key        = Const::CONSUMER_KEY

## sosutwit.rb
# -*- encoding: utf-8 -*-
require 'rubygems'
require 'twitter'

Twitter.configure do |config|
  config.consumer_key = ""
  config.consumer_secret = ""
  config.oauth_token = ""
  config.oauth_token_secret = ""
end

## duplicate.js
'use strict';

var besiege = require('besiege.js');
const Block = require('./block.js');
const parseString = require('xml2js').parseString;
var lines=[];
var reader = require('readline').createInterface({
    input: process.stdin
});
var machine = null;

## besiege_gen_man.js


var math = require('mathjs');

var block_id = 1;
var scale = 40;
var density = 2;

function g (x, y) {
	c = math.complex(x, y);

## ユークリッド.rb
input=gets.split
r=input[0].to_i%input[1].to_i
until r==0 do
  m=n
  n=r
  r=m%n
  puts n
end
	public class Penis {
	public static void main (String[] args) {
	int n = 0;
	while (n <= 1000) {
	System.out.println("チンポ");
	n++;
	}
	}
	}
	#include <iostream>
	#include "./Eigen/Core"

	using namespace std;
	using namespace Eigen;

	class NN {
	private:
	float reactified_linear(float u){
	return u * (u > 0);
	<!doctype html>
	<html>
	<head>
	<title>Self Camera</title>
	<meta charset="utf-8">
	<script src="https://code.createjs.com/easeljs-0.7.1.min.js"></script>
	<script src="https://code.jquery.com/jquery-1.11.0.min.js"></script>
	</head>
	<body>
	# coding=utf-8

	# get_segment.pyで生成したセグメントを読み込み, 輪郭点の数と結合重みを振って認識率を確かめる実験を行うスクリプト

	import numpy as np
	import cv2
	from matplotlib import pyplot as plt
	from collections import Counter
	# coding=utf-8

	# 画像を読み込んでセグメント(接続順に並んだ輪郭点)を出力するスクリプト

	import numpy as np
	import cv2


	def get_hand_image_bg(imgfile):
	img = cv2.imread(imgfile)
	# -- encoding: utf-8 --
	require 'rubygems'
	require 'tweetstream'
	require 'twitter'
	require 'prime'
	require 'date'
	require './key.rb'

	Twitter.configure do \|config\|
	config.consumer_key = Const::CONSUMER_KEY
	'use strict';

	var besiege = require('besiege.js');
	const Block = require('./block.js');
	const parseString = require('xml2js').parseString;
	var lines=[];
	var reader = require('readline').createInterface({
	input: process.stdin
	});
	var machine = null;


	var math = require('mathjs');

	var block_id = 1;
	var scale = 40;
	var density = 2;

	function g (x, y) {
	c = math.complex(x, y);
	input=gets.split
	r=input[0].to_i%input[1].to_i
	until r==0 do
	m=n
	n=r
	r=m%n
	puts n
	end