truncs

#include <iostream>
#include <vector>

using namespace std;

template <class T>
class Heap {
  vector<T> list;

  void bubbleUp();

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

MatthewSteel

//Tic-tac-toe playing AI. Exhaustive tree-search. WTFPL
//Matthew Steel 2009, www.www.repsilat.com

#include <stdio.h>

char gridChar(int i) {
    switch(i) {
        case -1:
            return 'X';
        case 0:

shobhit6993

/**
 * In this code we have a very large array called arr, and very large set of operations
 * Operation #1: Increment the elements within range [i, j] with value val
 * Operation #2: Get max element within range [i, j]
 * Build tree: build_tree(1, 0, N-1)
 * Update tree: update_tree(1, 0, N-1, i, j, value)
 * Query tree: query_tree(1, 0, N-1, i, j)
 * Actual space required by the tree = 2*2^ceil(log_2(n)) - 1
 */

shobhit6993

/**
 * In this code we have a very large array called arr, and very large set of operations
 * Operation #1: Increment the elements within range [i, j] with value val
 * Operation #2: Get max element within range [i, j]
 * Build tree: build_tree(1, 0, N-1)
 * Update tree: update_tree(1, 0, N-1, i, j, value)
 * Query tree: query_tree(1, 0, N-1, i, j)
 * Actual space required by the tree = 2*2^ceil(log_2(n)) - 1
 */

reterVision

#include <iostream>
#include <string>
#include <map>
#include <vector>

using namespace std;

struct Node {
  char ch;
  map<char, Node*> children;

Chaser324

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

WOLOHAHA

package POJ;

public class Main{
 
	/**
	 * 
	 * 5.1 You are given two 32-bit numbers, N and M, and two bit positions, i and j. Write a method to set all bits 
	 * between i and j in N equal to M (e g , M becomes a substring of N located at i and starting at j)
	 * 
	 * EXAMPLE:

jacek-lewandowski

package com.datastax.spark.demo;

import com.datastax.driver.core.Session;
import com.datastax.spark.connector.cql.CassandraConnector;
import com.google.common.base.Optional;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;