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2369. Check if There is a Valid Partition For The Array
Description
You are given a 0-indexed integer array nums. You have to partition the array into one or more contiguous subarrays.
We call a partition of the array valid if each of the obtained subarrays satisfies one of the following conditions:
- The subarray consists of exactly
2,equal elements. For example, the subarray[2,2]is good. - The subarray consists of exactly
3,equal elements. For example, the subarray[4,4,4]is good. - The subarray consists of exactly
3consecutive increasing elements, that is, the difference between adjacent elements is1. For example, the subarray[3,4,5]is good, but the subarray[1,3,5]is not.
Return true if the array has at least one valid partition. Otherwise, return false.
Example 1:
Input: nums = [4,4,4,5,6] Output: true Explanation: The array can be partitioned into the subarrays [4,4] and [4,5,6]. This partition is valid, so we return true.
Example 2:
Input: nums = [1,1,1,2] Output: false Explanation: There is no valid partition for this array.
Constraints:
2 <= nums.length <= 1051 <= nums[i] <= 106
Solutions
Solution 1: Memoization Search
We design a function $dfs(i)$, which represents whether there is a valid partition starting from index $i$. So the answer is $dfs(0)$.
The execution process of the function $dfs(i)$ is as follows:
- If $i \ge n$, return $true$.
- If the elements at index $i$ and $i+1$ are equal, we can choose to make $i$ and $i+1$ a subarray, and recursively call $dfs(i+2)$.
- If the elements at index $i$, $i+1$ and $i+2$ are equal, we can choose to make $i$, $i+1$ and $i+2$ a subarray, and recursively call $dfs(i+3)$.
- If the elements at index $i$, $i+1$ and $i+2$ increase by $1$ in turn, we can choose to make $i$, $i+1$ and $i+2$ a subarray, and recursively call $dfs(i+3)$.
- If none of the above conditions are met, return $false$, otherwise return $true$.
That is:
\[dfs(i) = \textit{OR} \begin{cases} true,&i \ge n\\ dfs(i+2),&i+1 < n\ \textit{and}\ \textit{nums}[i] = \textit{nums}[i+1]\\ dfs(i+3),&i+2 < n\ \textit{and}\ \textit{nums}[i] = \textit{nums}[i+1] = \textit{nums}[i+2]\\ dfs(i+3),&i+2 < n\ \textit{and}\ \textit{nums}[i+1] - \textit{nums}[i] = 1\ \textit{and}\ \textit{nums}[i+2] - \textit{nums}[i+1] = 1 \end{cases}\]To avoid repeated calculations, we use the method of memoization search.
The time complexity is $O(n)$, and the space complexity is $O(n)$. Where $n$ is the length of the array.
Solution 2: Dynamic Programming
We can convert the memoization search in Solution 1 into dynamic programming.
Let $f[i]$ represent whether there is a valid partition for the first $i$ elements of the array. Initially, $f[0] = true$, and the answer is $f[n]$.
The state transition equation is as follows:
\[f[i] = \textit{OR} \begin{cases} true,&i = 0\\ f[i-2],&i-2 \ge 0\ \textit{and}\ \textit{nums}[i-1] = \textit{nums}[i-2]\\ f[i-3],&i-3 \ge 0\ \textit{and}\ \textit{nums}[i-1] = \textit{nums}[i-2] = \textit{nums}[i-3]\\ f[i-3],&i-3 \ge 0\ \textit{and}\ \textit{nums}[i-1] - \textit{nums}[i-2] = 1\ \textit{and}\ \textit{nums}[i-2] - \textit{nums}[i-3] = 1 \end{cases}\]The time complexity is $O(n)$, and the space complexity is $O(n)$. Where $n$ is the length of the array.
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class Solution { private int n; private int[] f; private int[] nums; public boolean validPartition(int[] nums) { this.nums = nums; n = nums.length; f = new int[n]; Arrays.fill(f, -1); return dfs(0); } private boolean dfs(int i) { if (i == n) { return true; } if (f[i] != -1) { return f[i] == 1; } boolean res = false; if (i < n - 1 && nums[i] == nums[i + 1]) { res = res || dfs(i + 2); } if (i < n - 2 && nums[i] == nums[i + 1] && nums[i + 1] == nums[i + 2]) { res = res || dfs(i + 3); } if (i < n - 2 && nums[i + 1] - nums[i] == 1 && nums[i + 2] - nums[i + 1] == 1) { res = res || dfs(i + 3); } f[i] = res ? 1 : 0; return res; } } // Solution 2 class Solution { public boolean validPartition(int[] nums) { int n = nums.length; boolean[] f = new boolean[n + 1]; f[0] = true; for (int i = 1; i <= n; ++i) { boolean a = i - 2 >= 0 && nums[i - 1] == nums[i - 2]; boolean b = i - 3 >= 0 && nums[i - 1] == nums[i - 2] && nums[i - 2] == nums[i - 3]; boolean c = i - 3 >= 0 && nums[i - 1] - nums[i - 2] == 1 && nums[i - 2] - nums[i - 3] == 1; f[i] = (a && f[i - 2]) || ((b || c) && f[i - 3]); } return f[n]; } } -
class Solution { public: vector<int> f; vector<int> nums; int n; bool validPartition(vector<int>& nums) { n = nums.size(); this->nums = nums; f.assign(n, -1); return dfs(0); } bool dfs(int i) { if (i == n) return true; if (f[i] != -1) return f[i] == 1; bool res = false; if (i < n - 1 && nums[i] == nums[i + 1]) res = res || dfs(i + 2); if (i < n - 2 && nums[i] == nums[i + 1] && nums[i + 1] == nums[i + 2]) res = res || dfs(i + 3); if (i < n - 2 && nums[i + 1] - nums[i] == 1 && nums[i + 2] - nums[i + 1] == 1) res = res || dfs(i + 3); f[i] = res ? 1 : 0; return res; } }; // Solution 2 class Solution { public: bool validPartition(vector<int>& nums) { int n = nums.size(); vector<bool> f(n + 1); f[0] = true; for (int i = 1; i <= n; ++i) { bool a = i - 2 >= 0 && nums[i - 1] == nums[i - 2]; bool b = i - 3 >= 0 && nums[i - 1] == nums[i - 2] && nums[i - 2] == nums[i - 3]; bool c = i - 3 >= 0 && nums[i - 1] - nums[i - 2] == 1 && nums[i - 2] - nums[i - 3] == 1; f[i] = (a && f[i - 2]) || ((b || c) && f[i - 3]); } return f[n]; } }; -
class Solution: def validPartition(self, nums: List[int]) -> bool: @cache def dfs(i): if i == n: return True res = False if i < n - 1 and nums[i] == nums[i + 1]: res = res or dfs(i + 2) if i < n - 2 and nums[i] == nums[i + 1] and nums[i + 1] == nums[i + 2]: res = res or dfs(i + 3) if ( i < n - 2 and nums[i + 1] - nums[i] == 1 and nums[i + 2] - nums[i + 1] == 1 ): res = res or dfs(i + 3) return res n = len(nums) return dfs(0) # Solution 2 class Solution: def validPartition(self, nums: List[int]) -> bool: n = len(nums) f = [True] + [False] * n for i, x in enumerate(nums, 1): a = i - 2 >= 0 and nums[i - 2] == x b = i - 3 >= 0 and nums[i - 3] == nums[i - 2] == x c = i - 3 >= 0 and x - nums[i - 2] == 1 and nums[i - 2] - nums[i - 3] == 1 f[i] = (a and f[i - 2]) or ((b or c) and f[i - 3]) return f[n] -
func validPartition(nums []int) bool { n := len(nums) f := make([]int, n) for i := range f { f[i] = -1 } var dfs func(int) bool dfs = func(i int) bool { if i == n { return true } if f[i] != -1 { return f[i] == 1 } res := false f[i] = 0 if i < n-1 && nums[i] == nums[i+1] { res = res || dfs(i+2) } if i < n-2 && nums[i] == nums[i+1] && nums[i+1] == nums[i+2] { res = res || dfs(i+3) } if i < n-2 && nums[i+1]-nums[i] == 1 && nums[i+2]-nums[i+1] == 1 { res = res || dfs(i+3) } if res { f[i] = 1 } return res } return dfs(0) } // Solution 2 func validPartition(nums []int) bool { n := len(nums) f := make([]bool, n+1) f[0] = true for i := 1; i <= n; i++ { x := nums[i-1] a := i-2 >= 0 && nums[i-2] == x b := i-3 >= 0 && nums[i-3] == nums[i-2] && nums[i-2] == x c := i-3 >= 0 && x-nums[i-2] == 1 && nums[i-2]-nums[i-3] == 1 f[i] = (a && f[i-2]) || ((b || c) && f[i-3]) } return f[n] } -
function validPartition(nums: number[]): boolean { const n = nums.length; const vis = new Array(n).fill(false); const queue = [0]; while (queue.length !== 0) { const i = queue.shift() ?? 0; if (i === n) { return true; } if (!vis[i + 2] && i + 2 <= n && nums[i] === nums[i + 1]) { queue.push(i + 2); vis[i + 2] = true; } if ( !vis[i + 3] && i + 3 <= n && ((nums[i] === nums[i + 1] && nums[i + 1] === nums[i + 2]) || (nums[i] === nums[i + 1] - 1 && nums[i + 1] === nums[i + 2] - 1)) ) { queue.push(i + 3); vis[i + 3] = true; } } return false; } // Solution 2 function validPartition(nums: number[]): boolean { const n = nums.length; const f: boolean[] = Array(n + 1).fill(false); f[0] = true; for (let i = 1; i <= n; ++i) { const a = i - 2 >= 0 && nums[i - 1] === nums[i - 2]; const b = i - 3 >= 0 && nums[i - 1] === nums[i - 2] && nums[i - 2] === nums[i - 3]; const c = i - 3 >= 0 && nums[i - 1] - nums[i - 2] === 1 && nums[i - 2] - nums[i - 3] === 1; f[i] = (a && f[i - 2]) || ((b || c) && f[i - 3]); } return f[n]; }