pixyj

class Node:
	def __init__(self,val,parent=None):
		self.val = val
		self.parent = parent
		self.left = None
		self.right = None

	def setLeft(self,node):
		self.left = node

pixyj

#!/bin/bash

#Take project name as input
if [ -z "$1" ] 
then
	echo "Enter project name"
	read proj
else
	proj="$1"
fi

pixyj

#To get all sql queries sent by Django from py shell

import logging
l = logging.getLogger('django.db.backends')
l.setLevel(logging.DEBUG)
l.addHandler(logging.StreamHandler())


#For more info, http://stackoverflow.com/questions/971667/django-orm-how-to-view-or-log-the-executed-query

pixyj

def ways(amount, coin_types):
  
  """
    Python implementation for the counting_change problem
    http://mitpress.mit.edu/sicp/full-text/book/book-Z-H-11.html#%_sec_1.2
    
    Doesn't work for large numbers because we don't have tail call optimization in python
    
    Time complexity analysis: Found an explanation at 
    http://wqzhang.wordpress.com/2009/06/09/sicp-exercise-1-14/

pixyj

/*******************************************************************************************************
Checks if an object(instance) has the same properties of the same type with respect to a known
object(schema). 

validate is especially useful to test whether the server side code sends JSON as expected by the client


Usage Example: 
1. Create a sample expected object (sampleSchema).
2. When data(sampleInstance) is received, call validate(sampleSchema, sampleInstance)

pixyj

all:
	gcc -Wall http_client.c -o http_client

clean:
	rm *.o;rm http_client

pixyj

var countNodes = function() {
    var total = 1;
    var count = function(node) {
        var i, l;
        l = node.children.length;
        total += l;
        for(i=0; i<l; i++) {
            count(node.children[i])
        }
    }

pixyj

import "fmt";

import "code.google.com/p/go-tour/pic"

func Pic(dx, dy int) [][]uint8 {
    phew := make([][]uint8, dx)
    
    for i := range phew {
    	phew[i] = make([]uint8, dy)
        for j := range phew[i] {

pixyj

package main

import (
    "fmt"
)

func approx(z, x float64) float64 {
    z = z - (z*z - x)/2/z
    return z
    

pixyj

// Copyright 2011 The Go Authors.  All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

import (
	"fmt"
	"math/rand"
)