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package practice;


import java.io.BufferedReader;

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package Thread;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * Created by kevinsteppe on 2/10/15.
 */
public class ThreadDemoSOP
{

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package Thread;

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**
 * Created by kevinsteppe on 2/10/15.
 */
public class ThreadDemoSOP
{

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package Thread;

import java.util.Random;
import java.util.concurrent.locks.*;

/**
 * Created by kevinsteppe on 2/10/15.
 */
public class ThreadDemoExc {

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package Thread;

import java.io.BufferedWriter;
import java.io.FileWriter;
import java.io.PrintWriter;
import java.math.BigInteger;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

/**

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import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
public class ThreadDemoCounter implements Runnable
{
    
    private static Lock lock = new ReentrantLock();
    private int counter;

    public int getCounter()
    {

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import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
import java.io.*;

/**
 *  The Account class:
 *      1) has a current balance and a name
 *      2) allows transfers to another account
 *
 *  Important properties:

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package queues;

import java.util.*;
import java.util.concurrent.locks.ReentrantLock;

/**
 * Modify the code to have different numbers of threads removing tasks from the
 * queue. Launch threads before you exceed the service level agreement (greater
 * than 10000 milliseconds). Stop threads before you start processing tasks
 * faster than the SLA (less than 5000 milliseconds). Do not remove or alter the

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package aa.race;

import aa.StopWatch;

import java.util.Random;
import java.util.concurrent.locks.*;

/**
 *
 * This is testing code with different scenarios to test the Account class.

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def create_pie(df,target_variable,figsize=(10,10)):
  print(df[target_variable].value_counts())
  fig, ax = plt.subplots(figsize=figsize)
  ax.pie(df[target_variable].value_counts().values,  labels=df[target_variable].value_counts().index,autopct = '%1.2f%%',textprops={'fontsize': 20})
  ax.axis('equal')
  plt.title(target_variable)
  plt.show()