sajal

package main

import (
	"encoding/base64"
	"fmt"
	"github.com/miekg/dns"
)

func main() {
	//Decode base64 to binary

sajal

var Packet = require('native-dns-packet');


var buf = new Buffer("f2+AgAABAAEAAAAAA3d3dwRyaXBlA25ldAAAAQABwAwAAQABAAA3+gAEwQAGiw==", 'base64');
var p = Packet.parse(buf)
console.log(p)

sajal

First run

npm install -g browserify
npm install -g native-dns-packet
browserify main.js > bundle.js

sajal

from boto.route53.connection import Route53Connection
import urllib2
from syslog import syslog

# ======= CONFIG ========
AWS_ACCESS_KEY_ID = 'XXXXXXXXXXXXXXXXXX'
AWS_SECRET_ACCESS_KEY = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXX'
DDNSNAME = "foo.example.com." # Should end in period
ZONEID = "XXXXXXXXX"
# ===== END CONFIG ======

sajal

def do_task():
    """
    Customise this
    """
    this_will_always_fail()

def attempt_task():
    try:
        do_task()
        print "Success at last!"

sajal

/*

Check : https://github.com/sajal/Cloudfront-Purge-Tool/blob/master/cloudfrontapi.js for maintained version.

  Author: Sajal Kayan
  URL: http://www.cdnplanet.com/
  License: Undecided probably BSD style
  Description:  Access to CloudFront API from browser. Requires crossdomain XHR!!!.
                Wont work from webpages, but i'm making this for chrome extention.
  Sample Usage : 

sajal

/*
 jQuery UI Datepicker plugin wrapper
 
 @param [ui-date] {object} Options to pass to $.fn.datepicker() merged onto ui.config
*/

angular.module('ui.directives').directive('uiDate', [
  'ui.config', function(uiConfig) {
    var options;
    options = {};

sajal

from disco.worker.classic.func import task_output_stream

class S3Output(object):
    """
    Output stream for S3.
    key from each reduce becomes key name in S3
    If gzip param is True, it gzips before uploading.
    AWS_KEY, AWS_SECRET and BUCKET_NAME in params is required.
    """
    def __init__(self,stream,params):

sajal

from collections import defaultdict
import math

class MagicList():
    """
    An attempt to make a python object which could potentially hold
    unlimited values with finite distinct values.
    All items are not stored in memory, only the count of each distinct item is.
    So if you want to hold say 1 million numbers where each number is between 1 to 5000,
    this should be a better choice than a list.

sajal

from disco.worker.classic.func import task_output_stream

class S3LineOutput(object):
    """
    Output stream for S3.
    key from each reduce becomes key name in S3
    If gzip param is True, it gzips before uploading.
    AWS_KEY, AWS_SECRET and BUCKET_NAME in params is required.
    """
    def __init__(self,stream,params,partition, url):