t-abe

class A(object):
    def __init__(self, ar = []):
        self.ar = ar

a = A()
b = A()
a.ar.append(1)
b.ar.append(2)
print a.ar  # => [1, 2]

t-abe

#! /usr/bin/perl

use strict;
use warnings;
use Web::Scraper;
use LWP::UserAgent;
use URI;
use URI::Escape;
use Encode;
use utf8;

t-abe

#include <useopencv.h>

template <typename T>
class BoxMat {
public:
    const cv::Mat_<T>& mat;
    int offsetX, offsetY;
    int rows, cols;

    BoxMat(const cv::Mat_<T>& mat, const int offsetY, const int offsetX, const cv::Size size)

t-abe

#pragma once

#pragma warning ( disable : 4819 )
#pragma warning ( disable : 4996 )

#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/calib3d/calib3d.hpp>

t-abe

// use opencv
#include <opencv2/core/core.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/imgproc/imgproc_c.h>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/calib3d/calib3d.hpp>
#ifdef _DEBUG
	#pragma comment( lib, "opencv_core229d.lib" )
	#pragma comment( lib, "opencv_imgproc229d.lib" )
	#pragma comment( lib, "opencv_highgui229d.lib" )

t-abe

/*

    // prepare
    HoG hog(PATCH_SIZE, cv::Size(8, 8), cv::Size(2, 2), cv::Size(8, 8), 9);
    // ...or...
    MultiScaleHoG hog;
    hog.add(PATCH_SIZE, cv::Size(4, 4), cv::Size(2, 2), cv::Size(4, 4), 9);
    hog.add(PATCH_SIZE, cv::Size(16, 16), cv::Size(2, 2), cv::Size(8, 8), 9);
    hog.add(PATCH_SIZE, cv::Size(32, 32), cv::Size(2, 2), cv::Size(16, 16), 9);

t-abe

/* the wrapper of BLAS and LAPACK (MKL) */
#pragma once

#include "blas.hpp"
#include <cstring>

#ifndef MAX
#define MAX(a, b) (((a) > (b)) ? (a) : (b))
#endif
#ifndef MIN

t-abe

#pragma once

/* using MKL10 */
#pragma comment(lib, "mkl_intel_lp64.lib")
#pragma comment(lib, "mkl_intel_thread.lib")
#pragma comment(lib, "mkl_core.lib")
#pragma comment(lib, "libiomp5md.lib")
#include <mkl.h>
#include <cmath>

t-abe

/********

    // Multi-class
    const int N; // number of samples
    const int D; // dimension of feature
    const int M; // number of classes
    const int P; // number of reduced domensions
    double* X = new double[D * N]; // features
    double* Y = new double[M * N]; // labels
    double* W = new double[D * P]; // projection matrix

t-abe

require 'formula'

class Emacs < Formula
  homepage 'http://www.gnu.org/software/emacs/'
  url 'http://ftp.yz.yamagata-u.ac.jp/pub/GNU/emacs/emacs-24.2.tar.gz'
  sha1 '5fc4fe7797f821f2021ac415a81f5f190c52c0b2'

  depends_on "autoconf" => :build

  if ARGV.include? "--use-git-head"