Tonight I learned that random sample where each element in the sampling corpus has an equal likelihood of being chosen is a brand of algorithms known as "reservoir sampling". - Implement random.shuffle(..) - Implement random.choice(..) Surprisingly, candidates are expected to encounter problems like this during interviews.
		
			
				
	
	
		
			7 lines
		
	
	
	
		
			144 B
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			7 lines
		
	
	
	
		
			144 B
		
	
	
	
		
			Python
		
	
	
	
	
	
| import random
 | |
| 
 | |
| def shuffle(xs):
 | |
|     n = len(xs)
 | |
|     for i in range(n):
 | |
|         j = random.randint(i, n - 1)
 | |
|         xs[i], xs[j] = xs[j], xs[i]
 |