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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:

  1. The subarray consists of exactly 2, equal elements. For example, the subarray [2,2] is good.
  2. The subarray consists of exactly 3, equal elements. For example, the subarray [4,4,4] is good.
  3. The subarray consists of exactly 3 consecutive increasing elements, that is, the difference between adjacent elements is 1. 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 <= 105
  • 1 <= nums[i] <= 106

Solutions

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.

  • 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];
    }
    
    

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