belltailjp

% curl "http://api.openweathermap.org/data/2.5/forecast/daily?lat=35.0845611&lon=137.1706404&units=metric&appid=YOURAPIKEY"
{
  "city": {
    "id": 1849814,
    "name": "Toyota",
    "coord": {
      "lon": 137.149994,
      "lat": 35.083328
    },
    "country": "JP",

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% curl "http://weather.livedoor.com/forecast/webservice/json/v1?city=230010" | jq '.'
{
  "pinpointLocations": [
    {
      "link": "http://weather.livedoor.com/area/forecast/2310000",
      "name": "名古屋市"
    },
    {
      "link": "http://weather.livedoor.com/area/forecast/2320200",
      "name": "岡崎市"

belltailjp

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import numpy
import skimage.io
from PySide.QtGui import *

skimg = skimage.io.imread('imgfile.jpg')

# convert to QImage (skimg can be grayscale or rgb)

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import numpy
from benchmarker import Benchmarker

N = 10 ** 8

with Benchmarker(1000) as bench:
    @bench('col-proposed')
    def _(bm):
        a = numpy.random.randint(0, 100, (2, N))

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# Construct 2-column ndarray
>>> a = numpy.random.randint(0, 100, (10, 2))
>>> a
array([[29,  1],
       [33, 36],
       [79, 32],
       [72, 52],
       [30,  9],
       [33, 85],
       [72, 29],

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# Construct 2-row ndarray
>>> a = numpy.random.randint(0, 100, (2, 10))
>>> a
array([[95, 31, 25, 68, 88, 25, 71, 55, 16, 14],
       [57, 59, 38, 30, 78, 92, 30, 47, 89, 41]])

# Extract columns whose 1st row is larger than the 2nd.
>>> a[:, a[1] < a[0]] 
array([[95, 68, 88, 71, 55],
       [57, 30, 78, 30, 47]])

belltailjp

#include <iostream>
#include <random>

int main()
{
    std::vector<int> prob = {1, 9, 25, 25, 30, 9, 1};
    const std::string str[] = {"大吉", "中吉", "小吉", "吉末", "吉", "凶", "大凶"};

    std::mt19937 rng;
    std::discrete_distribution<int> dst(prob.begin(), prob.end());

belltailjp

#include <iostream>
#include <random>

int main()
{
    std::vector<int> prob = {1, 9, 25, 25, 30, 9, 1};
    const std::string str[] = {"大吉", "中吉", "小吉", "吉末", "吉", "凶", "大凶"};
    std::mt19937 rng;

    //出現確率を累積に変換

belltailjp

#include <iostream>
#include <random>
#include <algorithm>
#include <boost/format.hpp>

#include <xmmintrin.h>
#include <immintrin.h>

#include <osakana/stopwatch.hpp>

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#include <glog/logging.h>

void func()
{
  throw;
}

int main(int argc, char *argv[])
{
  //google glogの初期化