Reputation: 837
I would like an algorithm/function that, given a number N, generates random numbers from 0 to N - 1 in constant time. After the Nth call, the function may do as it pleases. Also, it is important that the algorithm generates the numbers when requested rather than using shuffling, because I may (and in the average case do) not need the full list of numbers. What is the best approach to take?
(optional to read) I thought of having a hash set of numbers, and pulling the numbers out one at a time, but this would require inserting all elements (which I often do not need) into the hash set first... this will not work... Argh
Thanks for any help in advance.
Upvotes: 1
Views: 331
Reputation: 65458
Modify the Fisher–Yates shuffle by replacing the array with a map that stores only the elements that have been moved. In Python:
import random
class Shuffle:
def __init__(self, n):
self.d = {}
self.n = n
def generate(self):
i = random.randrange(self.n)
self.n -= 1
di = self.d[i] if i in self.d else i # idiomatically, self.d.get(i, i)
dn = self.d[self.n] if self.n in self.d else self.n
self.d[i] = dn
self.d[self.n] = di
return di
The space usage and amortized expected running time is O(1) words per element actually generated. Up to log factors, this is optimal.
Upvotes: 2