bodokaiser

package store

type Query struct {
	mongo bson.M
}

func NewQuery() *Query {
	return &Query{
		mongo: make(bson.M),
	}

bodokaiser

package main

import (
	"io"
	"fmt"

	"gopkg.in/mgo.v2"
)

type Article struct {

bodokaiser

// Example Usage:
//
// type SomeWork struct {
//	Value int
// 	Result chan int
// }
//
// func (w *SomeWork) Do() {
// 	w.Value += 10000
//

bodokaiser

var url     = require('url');
var cheerio = require('cheerio');
var request = require('request');

var cache = [];

crawl(new Page('http://nodejs.org'));

function crawl(page) {
  request(page.origin, function(err, res, body) {

bodokaiser

package com.satisfeet.core;

import java.io.Serializable;

import javax.persistence.Column;
import javax.persistence.Entity;
import javax.persistence.Id;
import javax.persistence.OneToOne;

@Entity

bodokaiser

import util
import matplotlib.pylab as pylab

f = util.Person("Friday")
f.learn("meat", 0.20)
f.learn("fish", 0.20)

r = util.Person("Robinson")
r.learn("meat", 1.00)
r.learn("fish", 0.25)

bodokaiser

using JuMP

m = Model()

@defVar(m, x1)
@defVar(m, x2)
@defVar(m, x3 >= 0)
@defVar(m, x4 >= 0)

@setObjective(m, Min, 3x1 - 2x2 + 1x3 -4x4)

bodokaiser

f = lambda x: ord(x) - 96
g = lambda x: (x + 3) % 26
h = lambda x: chr(x + 96)

cesar = lambda x: ''.join([h(g(f(y))) for y in x])

print(cesar('matrix'))

bodokaiser

bodokaiser

class Opencv < Formula
  homepage "http://opencv.org/"
  head "https://github.com/Itseez/opencv.git"

  stable do
    url "https://github.com/Itseez/opencv/archive/2.4.11.tar.gz"
    sha256 "b5331ea85a709b0fe871b1ce92e631afcd5ae822423863da6b559dd2cb7845bc"

    # Avoid explicit links to a Python framework
    # https://github.com/Itseez/opencv/pull/3865