takuti

// ベース（合成先）画像のピクセル値を取得
UIImage *baseImage = [UIImage imageNamed:@"hand1-150x150.png"];
CGImageRef baseCGImage = baseImage.CGImage;
size_t baseBytesPerRow = CGImageGetBytesPerRow(baseCGImage);
CGDataProviderRef baseDataProvider = CGImageGetDataProvider(baseCGImage);
CFDataRef baseData = CGDataProviderCopyData(baseDataProvider);
UInt8 *basePixels = (UInt8*)CFDataGetBytePtr(baseData); // f*_p
    
// 合成結果のピクセル値の初期値をベース画像と同じものに設定
// これを反復法で書き換えていく

takuti

# coding: utf-8

import base64
import Image
import sys

""" This is a simple steganography script
Base64-encoded message will be hidden in a image file
"""

takuti

# coding: utf-8

import numpy as np
import numpy.linalg as ln

classes = ['Iris-setosa', 'Iris-versicolor', 'Iris-virginica']

def sigmoid(u):
  return 1. / (1. + np.e ** -u)

takuti

# coding: utf-8

""" Usage
$ ./IBM_Model1.py ${english_filename} ${japanese_filename}

NOTE: prefix for filenames 'kftt-alignments/data/' will be automatically added
"""

# Reference: http://www.statmt.org/book/slides/04-word-based-models.pdf

takuti

import numpy as np
    
class CF:
    """Collaborative filtering for row items in a given N-by-M matrix
    """
    
    def __init__(self, mat):
    	self.mat = mat
    	self.N, self.M = mat.shape
    	

takuti

import java.util.*;

class WriteTree {
  public static void write(int n) {
    int bottom_n = (int) Math.pow(2, n);
    int digits = String.valueOf(bottom_n).length();

    int w = bottom_n * digits - 1;
    int p = 0;
    String v = "1";

takuti

import random


class MontyHall:

    def __init__(self):
        pass

    def is_won(self, action='stay'):
        doors = [1, 2, 3]

takuti

takuti

# Custom segmentation for long entries
日本経済新聞,日本 経済 新聞,ニホン ケイザイ シンブン,カスタム名詞
関西国際空港,関西 国際 空港,カンサイ コクサイ クウコウ,テスト名詞

# Custom reading for sumo wrestler
朝青龍,朝青龍,アサショウリュウ,カスタム人名

takuti

# coding: utf-8

"""USAGE: %(program)s WIKI_XML_DUMP OUTPUT_PREFIX
"""

import logging
import os.path
import sys

import gensim.corpora.wikicorpus as wikicorpus