動機
random題都很奇妙
Problem
You are given an integer n and an array of unique integers blacklist. Design an algorithm to pick a random integer in the range [0, n - 1] that is not in blacklist. Any integer that is in the mentioned range and not in blacklist should be equally likely returned.
Optimize your algorithm such that it minimizes the call to the built-in random function of your language.
Implement the Solution class:
Solution(int n, int[] blacklist)Initializes the object with the integernand the blacklisted integersblacklist.int pick()Returns a random integer in the range[0, n - 1]and not inblacklist. All the possible integers should be equally likely returned.
Example 1:
Input["Solution", "pick", "pick", "pick", "pick", "pick", "pick", "pick"][[7, [2, 3, 5]], [], [], [], [], [], [], []]Output[Algorithm, Leetcode, 6, 4, 1, 6, 1, 6, 4]ExplanationSolution solution = new Solution(7, [2, 3, 5]);solution.pick(); // return 6, any integer from [1,4,6] should be ok. Note that for every call of pick, 1, 4, and 6 must be equally likely to be returned (i.e., with probability 1/3).solution.pick(); // return 4solution.pick(); // return 1solution.pick(); // return 6solution.pick(); // return 1solution.pick(); // return 6solution.pick(); // return 4
Constraints:
1 <= n <= 1090 <= blacklist.length <- min(105, n - 1)0 <= blacklist[i] < n- All the values of
blacklistare unique. - At most
2 * 104calls will be made topick.
Sol
把range減blacklist,再把在這個範圍的blacklist對應到範圍外的數字
class Solution:
def __init__(self, n: int, bl: List[int]):
n2n = {}
bl = set(bl)
m = n-len(bl)
replace = n-1
for b in bl:
if b < m:
while replace > m and replace in bl:
replace -= 1
n2n[b] = replace
replace -= 1
self.n2n = n2n
self.m = m
def pick(self) -> int:
i = randrange(self.m)
if i in self.n2n:
return self.n2n[i]
else:
return i