film42

require 'thread'

##
## THREADING EXAMPLE
##
## Ruby's array append is not "thread safe." This means that real
## concurrency models will have collision issues. This is not a good
## thing, but we'll find we can use real threading constructs to
## protect code that isn't "thread safe." Run this code on MRI and
## then try running this in jRuby and compare the results.

film42

package id3

/**
 * Created by: film42 on: 3/6/15.
 */
object DecisionTreeUtils {

  type Vector[A] = List[A]
  type Matrix[A] = List[Vector[A]]

film42

(ns hn.realtime
  (:require [cheshire.core :refer :all]))

(def base-url "https://hacker-news.firebaseio.com/v0")

(defn get-updates
  "Return response regardless of condition"
  [] (parse-string (slurp (str base-url "/updates.json")) true))

(defprotocol IPoller

film42

(ns prime)

;; (coll, n) -> coll'
(defn- prime-check [coll n]
  (empty? (filter #(zero? (mod n %)) coll)))

(defn is-prime? [n]
  (loop [prime-list [] value 2]
    (cond
     ;; Have the list, check for prime

film42

public class SpiralMatrix {

  public static void spiralPrint( int[][] matrix ) {

    int height = matrix.length;
    int width = matrix[0].length;

    int currCol = 0;
    int currRow = 0;

film42

Keybase proof

I hereby claim:

• I am film42 on github.
• I am film42 (https://keybase.io/film42) on keybase.
• I have a public key whose fingerprint is CF06 2F6F 984C 0FA7 F955 A9D4 B42B B29C 5E42 9824

To claim this, I am signing this object:

film42

#include <vector>
#include <map>

namespace postal {
  
  template< class T >
    class broker {
      public:
      
        typedef std::vector< std::function< void ( T ) > > FuncVector;

film42

#include <iostream>
#include <vector>
#include <fstream>
#include <string>
#include <cmath>

#include "functional.h"
#include "graph.h"

// DATA PARSING

film42

auto pi_series = []( long limit ){

  return rxcpp::observable<>::range(1, limit)
  .map([](int k) {
    return ( k % 2 == 0 ? -4 : 4 ) / ( long double )( ( 2 * k ) - 1 );
  })
  .sum()
  .as_dynamic();

};

film42

//
//  knn.h
//  k_nearest_neighbor
//
//  http://burakkanber.com/blog/machine-learning-in-js-k-nearest-neighbor-part-1/
//
//  Created by Garrett Thornburg on 8/1/14.
//  Copyright (c) 2014 gt. All rights reserved.
//