384.Shuffle an Array
Tags: [random], [math]
Link: https://leetcode.com/problems/shuffle-an-array/#/description
Shuffle a set of numbers without duplicates.
Example:
// Init an array with set 1, 2, and 3.
int[] nums = {1,2,3};
Solution solution = new Solution(nums);
// Shuffle the array [1,2,3] and return its result. Any permutation of [1,2,3] must equally likely to be returned.
solution.shuffle();
// Resets the array back to its original configuration [1,2,3].
solution.reset();
// Returns the random shuffling of array [1,2,3].
solution.shuffle();
Solution: Random, Math
class Solution(object):
def __init__(self, nums):
"""
:type nums: List[int]
"""
self.original_nums = nums
def reset(self):
"""
Resets the array to its original configuration and return it.
:rtype: List[int]
"""
return self.original_nums
def shuffle(self):
"""
Returns a random shuffling of the array.
:rtype: List[int]
"""
arr = list(self.original_nums)
for i in xrange(len(arr) - 1):
rand_index = random.randint(i, len(arr) - 1)
arr[i], arr[rand_index] = arr[rand_index], arr[i]
return arr
# Your Solution object will be instantiated and called as such:
# obj = Solution(nums)
# param_1 = obj.reset()
# param_2 = obj.shuffle()
Revelation:
- The proof and explanation of the shuffle algorithm is here: https://zhaonanli.gitbooks.io/algorithm/content/shuffle.html
Note:
- Time complexity of 'reset' = O(1).
- Time complexity of 'shuffle' = O(n), n is the numbers of the given elements.