dyama

#include <stdio.h>
#include <math.h>

/* 有理数型 */
struct Rational
{
  int numer; /* 分子 */
  int denom; /* 分母 */
};
typedef struct Rational Rational;

dyama

/*

		HSPによるライフゲームサンプル

		参考文献：
			『C言語による最新アルゴリズム辞典』奥村晴彦著／技術評論社
			『人工生命の世界』服部桂／オーム社
*/
#define ScreenX 160
#define ScreenY 120

dyama

#!/bin/sh
# coding: utf-8

if [ $# -gt 0 ]; then
  for file in “$@”
  do
    if [ -f “$file” -a -s “$file” ]; then
      # Get file extention
      ext=`basename “$file” | sed ‘s/^.*\.\(.*\)$/\1/gi’`;
      if [ “$file” == $ext ] ; then

dyama

$indent = 2

class Array;
  def nest; self[0] end
  def nest=(val); self[0]=val end
  def value; self[1] end
  def value=(val); self[1]=val end
  def comment; self[2] end
  def comment=(val); self[2]=val end
end

dyama

; ookiihou wo kaesu max kansuu
defun ooki (x y)
  if (> x y)
    x
    y

; fibonacchi suu wo kaesu
defun fib (n)
  if (< n 2)
    n

dyama

; ookiihou wo kaesu max kansuu
(defun ooki (x y)
  (if (> x y)
    x
    y))

; fibonacchi suu wo kaesu
(defun fib (n)
  (if (< n 2)
    n

dyama

#!/usr/bin/ruby
# coding: utf-8

ts = {}
as = []

(`chasen source.txt`).each_line do |line|
  as.push line.split(/\t/)[0]
end

dyama

#!/usr/bin/python
# coding: utf-8
import numpy as np
import cv2
from matplotlib import pyplot as plt

img_left = cv2.imread("l.jpg",0)
img_right = cv2.imread("r.jpg",0)
img_left = cv2.GaussianBlur(cv2.equalizeHist(img_left), (3,3), 0)
img_right = cv2.GaussianBlur(cv2.equalizeHist(img_right) ,(3,3), 0)

dyama

  q = np.array([
    [1, 0, 0, -width/2],
    [0, 1, 0, -height/2],
    [0, 0, 0, focal_length],
    [0, 0, -1/tx, 0]
    ])
  _points, _colors = calc_point_cloud(image, disp, q)

  points = list(_points)
  colors = list(_colors)