zoukankan      html  css  js  c++  java
  • [Swift]LeetCode769. 最多能完成排序的块 | Max Chunks To Make Sorted

    ★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★
    ➤微信公众号:山青咏芝(shanqingyongzhi)
    ➤博客园地址:山青咏芝(https://www.cnblogs.com/strengthen/
    ➤GitHub地址:https://github.com/strengthen/LeetCode
    ➤原文地址: https://www.cnblogs.com/strengthen/p/10536217.html 
    ➤如果链接不是山青咏芝的博客园地址,则可能是爬取作者的文章。
    ➤原文已修改更新!强烈建议点击原文地址阅读!支持作者!支持原创!
    ★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★★

    Given an array arr that is a permutation of [0, 1, ..., arr.length - 1], we split the array into some number of "chunks" (partitions), and individually sort each chunk.  After concatenating them, the result equals the sorted array.

    What is the most number of chunks we could have made?

    Example 1:

    Input: arr = [4,3,2,1,0]
    Output: 1
    Explanation:
    Splitting into two or more chunks will not return the required result.
    For example, splitting into [4, 3], [2, 1, 0] will result in [3, 4, 0, 1, 2], which isn't sorted.
    

    Example 2:

    Input: arr = [1,0,2,3,4]
    Output: 4
    Explanation:
    We can split into two chunks, such as [1, 0], [2, 3, 4].
    However, splitting into [1, 0], [2], [3], [4] is the highest number of chunks possible.
    

    Note:

    • arr will have length in range [1, 10].
    • arr[i] will be a permutation of [0, 1, ..., arr.length - 1].

    数组arr[0, 1, ..., arr.length - 1]的一种排列,我们将这个数组分割成几个“块”,并将这些块分别进行排序。之后再连接起来,使得连接的结果和按升序排序后的原数组相同。

    我们最多能将数组分成多少块?

    示例 1:

    输入: arr = [4,3,2,1,0]
    输出: 1
    解释:
    将数组分成2块或者更多块,都无法得到所需的结果。
    例如,分成 [4, 3], [2, 1, 0] 的结果是 [3, 4, 0, 1, 2],这不是有序的数组。
    

    示例 2:

    输入: arr = [1,0,2,3,4]
    输出: 4
    解释:
    我们可以把它分成两块,例如 [1, 0], [2, 3, 4]。
    然而,分成 [1, 0], [2], [3], [4] 可以得到最多的块数。
    

    注意:

    • arr 的长度在 [1, 10] 之间。
    • arr[i]是 [0, 1, ..., arr.length - 1]的一种排列。

    Runtime: 4 ms
    Memory Usage: 19.1 MB
     1 class Solution {
     2     func maxChunksToSorted(_ arr: [Int]) -> Int {
     3         var res:Int = 0
     4         var n:Int = arr.count
     5         var mx:Int = 0
     6         for i in 0..<n
     7         {
     8             mx = max(mx, arr[i])
     9             if mx == i
    10             {
    11                 res += 1
    12             }
    13         }
    14         return res
    15     }
    16 }

    18268 kb

     1 class Solution {
     2     func maxChunksToSorted(_ arr: [Int]) -> Int {        
     3         let n = arr.count
     4         var minOfRight = Array(repeating: 0, count: n)
     5         var maxOfLeft = Array(repeating: 0, count: n)
     6         
     7         maxOfLeft[0] = arr[0]
     8         minOfRight[n-1] = arr[n-1]
     9         
    10         for i in 1..<n {
    11             maxOfLeft[i] = max(maxOfLeft[i-1], arr[i])
    12         }
    13         
    14         for i in (0..<(n - 1)).reversed() {
    15             minOfRight[i] = min(minOfRight[i+1], arr[i])
    16         }
    17         
    18         var res = 1
    19         
    20         for i in 1..<n {
    21             res += maxOfLeft[i-1] <= minOfRight[i] ? 1 : 0
    22         }        
    23         return res
    24     }
    25 }

    24ms

     1 class Solution {
     2     func maxChunksToSorted(_ arr: [Int]) -> Int {
     3         var result = 0
     4         let count = arr.count
     5         var left = 0
     6         var right = 0
     7         
     8         while left < count {
     9             right = arr[left]
    10             while left <= right {
    11                 right = max(right, arr[left])
    12                 left += 1
    13             }
    14             result += 1
    15         }
    16         return result
    17     }
    18 }
  • 相关阅读:
    linux JAVA JDK环境配置
    逍遥语录
    php常用函数集
    使用uGUI系统玩转标准俄罗斯方块
    Unity3D中uGUI事件系统简述及使用方法总结
    JAVA笔记-如何将百万级数据高效的导出到Excel表单
    简单的异步Socket实现——SimpleSocket_V1.1
    Netty4.x中文教程系列(六) 从头开始Bootstrap
    Unity3D中简单的C#异步Socket实现
    基于Spring框架的简单多数据源切换解决办法
  • 原文地址:https://www.cnblogs.com/strengthen/p/10536217.html
Copyright © 2011-2022 走看看