pratikone

//
//  main.c
//  MultiplyX
//
//  Created by Pratik Anand on 02/12/13.
//  Copyright (c) 2013 Pratik Anand. All rights reserved.
//


#include <stdio.h>

pratikone

//
//  simple.c
//  MultiplyX
//
//  Created by Pratik Anand on 02/12/13.
//  Copyright (c) 2013 Pratik Anand. All rights reserved.
//

#include <stdio.h>
#include <stdlib.h>

pratikone

//
//  main.c
//  MultiplyX
//
//  Created by Pratik Anand on 02/12/13.
//  Copyright (c) 2013 Pratik Anand. All rights reserved.
//


#include <stdio.h>

pratikone

import rubik
import unittest
def shortest_path(start, end):
    """
    Using 2-way BFS, finds the shortest path from start_position to
    end_position. Returns a list of moves. 

    You can use the rubik.quarter_twists move set.
    Each move can be applied using rubik.perm_apply
    """

pratikone

from datetime import datetime

def reading_input(file, teja):
    with open(file) as w:
        content = w.readlines()
    
    ctr = 0

    boomerangs = []
    nights = content[0] #ignoring this value as we can print without nights

pratikone

# Source : http://www.geeksforgeeks.org/maximum-product-subarray/

def maxProd(input):
    prod = temp_prod = 1
    i=0
    negativeCount = 1
    start_SubArray = -1
    end_SubArray = -1
    while i < len(input) :

pratikone

// The code is based on needle.c for Needleman-Wunsch algorithm at
// https://github.com/vtsynergy/OpenDwarfs/blob/master/dynamic-programming/nw/needle.c

#define LIMIT -999
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include "needle.h"
#include <sys/time.h>

pratikone

##########################
# Author : Pratik Anand  #
##########################


from sets import Set
from math import log
from decimal import *
from tabulate import tabulate
import copy

pratikone

##########################
# Author : Pratik Anand  #
##########################
from tabulate import tabulate
import copy

class Obj :
	data = 0
	x = 0
	y = 0

pratikone

##########################
# Author : Pratik Anand  #
##########################

from tabulate import tabulate
import copy
IS_LOCAL_ALIGNMENT = False
USE_BLOSUM = False
match = 1
mismatch = -1