siddhant3s

getCurrentDocument = function() {
    var doc = JSON.parse(localStorage.getItem("currentDocument"));
    doc.__proto__ = JSONDocument.prototype;
    return doc;
}

siddhant3s

                       "loadDocument": function (doc_id, handler ) {
                           /*                                                                                                                                                                     
                            Calls handler with an object associated with requested document of the `doc_id`                                                                                       
                            The first argument of handler is error object or null depending on if error occured or not.(Like NodeJS)                                                              
                            Second argmuent is the object literal containing                                                                                                                      
                            .hash of the object is the MD5 hash of the data                                                                                                    

siddhant3s

/* Comment next line if your implementation doesn't support TR1
   It will then use STL's map instead of TR1's unordered_map,
   thus will be a little slow (map take worst case log(N) access time)
   If you don't care about memory, the solution can be sped up using arrays
   instead of std::map
*/
#define TR1
#include <iostream>
#ifdef TR1

siddhant3s

from scipy.stats import expon
from scipy import cumsum,maximum,empty,insert
def getRandomArrivalServiceTimes(n_process, arrival_rate, service_rate):
    time_intervals = expon.rvs(scale = 1/arrival_rate, size = n_process - 1)
    arrival_times = insert(cumsum(time_intervals), 0, 0)
    service_times = expon.rvs(scale = 1/service_rate, size = n_process)
    return arrival_times, service_times

def mm1(arrival_times, service_times):
    n_process = arrival_times.size

siddhant3s

import random
def isProbablePrime(n):
    '''
    Miller-Rabin primality test.
    from http://rosettacode.org/wiki/Miller-Rabin_primality_test#Python
    '''
    _mrpt_num_trials = 5 # number of bases to test
    assert n >= 2
    # special case 2
    if n == 2:

siddhant3s

from operator import add, sub, le
def vector(operator):
    '''
    Apply operator to each element of vector and returns
    the resultant vector:
    from operator import add, sub, mul
    vector(add)([1,2,3], [2,3,4]) => [3,5,7]
    '''
    return lambda A, B: map(operator, A, B)

siddhant3s

function verify_har(har) {
  if (!har.log) {
    return {
      status: false,
      errors: [
        'HAR file should have a logs section.',
      ],
    };
  }
  if (!har.log.entries) {

siddhant3s

function verify_har(har) {
  if (har.log) {
    return {
      status: false,
      errors: [
        'Too many 403 errors found',
      ],
    };
  }
  return {status: true};

siddhant3s

function my_new_recipie(har) {
  if (har.log.entries[0].time > 3) {
    return { status: false, errors: ['Too big']};
  }
  return {status: true};
}

siddhant3s

import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileWriter;
import java.io.InputStreamReader;
import java.net.URL;

public class Main {
   public static void main(String[] args) throws Exception {
      URL url = new URL(args[0]);
      BufferedReader reader = new BufferedReader(new InputStreamReader(url.openStream()));