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31.next-permutation.py
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31.next-permutation.py
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#
# @lc app=leetcode id=31 lang=python3
#
# [31] Next Permutation
#
# https://leetcode.com/problems/next-permutation/description/
#
# algorithms
# Medium (37.48%)
# Likes: 14643
# Dislikes: 4068
# Total Accepted: 1M
# Total Submissions: 2.7M
# Testcase Example: '[1,2,3]'
#
# A permutation of an array of integers is an arrangement of its members into a
# sequence or linear order.
#
#
# For example, for arr = [1,2,3], the following are all the permutations of
# arr: [1,2,3], [1,3,2], [2, 1, 3], [2, 3, 1], [3,1,2], [3,2,1].
#
#
# The next permutation of an array of integers is the next lexicographically
# greater permutation of its integer. More formally, if all the permutations of
# the array are sorted in one container according to their lexicographical
# order, then the next permutation of that array is the permutation that
# follows it in the sorted container. If such arrangement is not possible, the
# array must be rearranged as the lowest possible order (i.e., sorted in
# ascending order).
#
#
# For example, the next permutation of arr = [1,2,3] is [1,3,2].
# Similarly, the next permutation of arr = [2,3,1] is [3,1,2].
# While the next permutation of arr = [3,2,1] is [1,2,3] because [3,2,1] does
# not have a lexicographical larger rearrangement.
#
#
# Given an array of integers nums, find the next permutation of nums.
#
# The replacement must be in place and use only constant extra memory.
#
#
# Example 1:
#
#
# Input: nums = [1,2,3]
# Output: [1,3,2]
#
#
# Example 2:
#
#
# Input: nums = [3,2,1]
# Output: [1,2,3]
#
#
# Example 3:
#
#
# Input: nums = [1,1,5]
# Output: [1,5,1]
#
#
#
# Constraints:
#
#
# 1 <= nums.length <= 100
# 0 <= nums[i] <= 100
#
#
#
# @lc code=start
class Solution:
def nextPermutation(self, nums: List[int]) -> None:
"""
Do not return anything, modify nums in-place instead.
"""
# 1. Find the largest index k such that nums[k] < nums[k + 1]. If no such index exists, the permutation is the last permutation.
k = -1
for i in range(len(nums)-1):
if nums[i] < nums[i+1]:
k = i
# 2. Find the largest index l greater than k such that nums[k] < nums[l].
if k != -1:
l = k + 1
for i in range(k+1, len(nums)):
if nums[k] < nums[i]:
l = i
# 3. Swap the value of nums[k] with that of nums[l].
nums[k], nums[l] = nums[l], nums[k]
# 4. Reverse the sequence from nums[k + 1] up to and including the final element nums[nums.size() - 1].
nums[k+1:] = nums[k+1:][::-1]
# @lc code=end