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  | class Point(object): | |
| def __init__(self, _x, _y): | |
| self._x = _x; self._y = _y | |
| @property | |
| def x(self): | |
| return self._x | |
| @x.setter | 
  
    
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  | inputFile = open('names_emails.txt') | |
| names_emails = inputFile.read(); inputFile.close() | |
| nameEmailArray = names_emails.split(",") | |
| nameEmailDict = {}; emailOnly = [] | |
| for name_email in nameEmailArray: | |
| token = name_email.split(' <') | |
| if len(token) == 1: | |
| emailOnly.append(token[0].replace('>','')) | |
| elif len(token) == 2: | 
  
    
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  | # seq.py | |
| import time | |
| def countdown(n): | |
| while n > 0: | |
| n -= 1 | |
| COUNT = 50000000 | |
| start = time.time() | |
| countdown(COUNT) | 
  
    
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  | // map.scala | |
| object `map` { | |
| def main (args: Array[String]) { | |
| val start = System.nanoTime | |
| println("\n(Map) multiplying 60 million elements by 2") | |
| val dbls = (1L to 60000000L).toArray.map(_*2) | |
| println("(Reduce) sum: %d".format(dbls.sum)) | |
| val end = System.nanoTime | |
| println("Total MapReduce time: %f".format((end-start)/1.0e9)) | |
| } | 
  
    
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  | """ | |
| Each 'import' statement demarcates a separate file | |
| """ | |
| # map.py | |
| import time | |
| start = time.time() | |
| print("\n(Map) multiplying 60 million elements by 2") | |
| dbls=map(lambda n: 2*n, range(60000000)) | |
| print("(Reduce) sum: %d" % sum(dbls)) | 
  
    
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  | # author: [email protected] | |
| # | |
| # Make sure your gevent version is >= 1.0 | |
| import gevent | |
| from gevent.wsgi import WSGIServer | |
| from gevent.queue import Queue | |
| from flask import Flask, Response | |
| import time | 
  
    
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  | public class Point { | |
| private int x; | |
| private int y; | |
| public Point(int x, int y) { | |
| this.x = x; | |
| this.y = y; | |
| } | 
  
    
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  | object `map` { | |
| def main (args: Array[String]) { | |
| val start = System.nanoTime | |
| println("\n(Map) multiplying 20 million elements by 2") | |
| val dbls = (1L to 20000000L).map(_*2) | |
| //val dbls = (1L to 20000000L).toArray.map(_*2) | |
| //val dbls = (1L to 20000000L).toVector.map(_*2) | |
| //val dbls = (1L to 20000000L).par.map(_*2) | |
| println("(Reduce) sum: %d".format(dbls.sum)) | 
  
    
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  | class Animal(object): | |
| def __init__(self, *args, **kwargs): | |
| print "Animal args", args | |
| print "Animal kwargs", kwargs | |
| print "Animal name", kwargs['name'] | |
| class Dog(Animal): | |
| def __init(self, *args, **kwargs): | |
| super(Dog, self).__init__(*args, **kwargs) | |
| self.name = name | 
  
    
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  | case class BSTNode(payload: Int, left: Option[BSTNode] = None, right: Option[BSTNode] = None) | |
| object Treeutils { | |
| def inOrder(root: Option[BSTNode]): List[Int] = root match { | |
| case None => List() | |
| case Some(BSTNode(payload, left, right)) => inOrder(left) ::: List(payload) ::: inOrder(right) | |
| } | |
| } | |
| scala> val tree = BSTNode(10,Some(BSTNode(8,Some(BSTNode(7,Some(BSTNode(6,None,None)),Some(BSTNode(7,None,None)))),Some(BSTNode(9,None,None)))),Some(BSTNode(11,None,None))) | 
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