Himanshu Maurya lordzuko

## radom_code.py
import numpy as np
x = [1,1] # target
y = [3,4] # weight matrix
step = 0
while True:
  d = np.dot(x,y) -10
  if abs(d) < 1e-10:
      print "done", step, x, y
      break
  y += -d*0.1 # learning rate 0.1 , and updating the weight matrix

## APRunner.java
import java.util.Scanner;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

/**
 * Created by himan on 3/5/2017.
 */
public class APRunner {

    public int sumAP(int A, int D, int N){

## APRunner.java
import java.util.Scanner;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

/**
 * Created by himan on 3/5/2017.
 */
public class APRunner {

    public int sumAP(int A, int D, int N){

## data.csv

          
            32.502345269453031
            31.70700584656992

            
              53.426804033275019
              68.77759598163891

            
              61.530358025636438
              62.562382297945803

            
              47.475639634786098
              71.546632233567777

            
              59.813207869512318
              87.230925133687393

            
              55.142188413943821
              78.211518270799232

            
              52.211796692214001
              79.64197304980874

            
              39.299566694317065
              59.171489321869508

            
              48.10504169176825
              75.331242297063056

            
              52.550014442733818
              71.300879886850353

## credentials.json
{
  "ssousername":"example@oracle.com",
  "password":"put your password here"
}

## LICENSE.txt
            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
                    Version 2, December 2004

 Copyright (C) 2011 YOUR_NAME_HERE <YOUR_URL_HERE>

 Everyone is permitted to copy and distribute verbatim or modified
 copies of this license document, and changing it is allowed as long
 as the name is changed.

            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
	import numpy as np
	x = [1,1] # target
	y = [3,4] # weight matrix
	step = 0
	while True:
	d = np.dot(x,y) -10
	if abs(d) < 1e-10:
	print "done", step, x, y
	break
	y += -d*0.1 # learning rate 0.1 , and updating the weight matrix
	import java.util.Scanner;
	import java.util.concurrent.ExecutorService;
	import java.util.concurrent.Executors;

	/**
	* Created by himan on 3/5/2017.
	*/
	public class APRunner {

	public int sumAP(int A, int D, int N){
	32.502345269453031	31.70700584656992
	53.426804033275019	68.77759598163891
	61.530358025636438	62.562382297945803
	47.475639634786098	71.546632233567777
	59.813207869512318	87.230925133687393
	55.142188413943821	78.211518270799232
	52.211796692214001	79.64197304980874
	39.299566694317065	59.171489321869508
	48.10504169176825	75.331242297063056
	52.550014442733818	71.300879886850353
	{
	"ssousername":"example@oracle.com",
	"password":"put your password here"
	}
	DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE
	Version 2, December 2004

	Copyright (C) 2011 YOUR_NAME_HERE <YOUR_URL_HERE>

	Everyone is permitted to copy and distribute verbatim or modified
	copies of this license document, and changing it is allowed as long
	as the name is changed.

	DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE