# 725 Split Linked List in Parts

## 725. [Split Linked List in Parts](https://leetcode.com/problems/split-linked-list-in-parts/description/)

## 1. Question

Given a (singly) linked list with head node`root`, write a function to split the linked list into`k`consecutive linked list "parts".

The length of each part should be as equal as possible: no two parts should have a size differing by more than 1. This may lead to some parts being null.

The parts should be in order of occurrence in the input list, and parts occurring earlier should always have a size greater than or equal parts occurring later.

Return a List of ListNode's representing the linked list parts that are formed.

Examples 1->2->3->4, k = 5 // 5 equal parts \[ \[1], \[2], \[3], \[4], null ]

**Example 1:**

```
Input:

root = [1, 2, 3], k = 5

Output: [[1],[2],[3],[],[]]

Explanation:

The input and each element of the output are ListNodes, not arrays.
For example, the input root has root.val = 1, root.next.val = 2, \root.next.next.val = 3, and root.next.next.next = null.
The first element output[0] has output[0].val = 1, output[0].next = null.
The last element output[4] is null, but it's string representation as a ListNode is [].
```

**Example 2:**

```
Input: root = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], k = 3

Output: [[1, 2, 3, 4], [5, 6, 7], [8, 9, 10]]

Explanation:

The input has been split into consecutive parts with size difference at most 1, and earlier parts are a larger size than the later parts.
```

**Note:**

The length of`root`will be in the range`[0, 1000]`.

Each value of a node in the input will be an integer in the range`[0, 999]`.

`k`will be an integer in the range`[1, 50]`.

## 2. Implementation

**(1) 不破坏原有的Linked List结构**

```java
/**
 * Definition for singly-linked list.
 * public class ListNode {
 *     int val;
 *     ListNode next;
 *     ListNode(int x) { val = x; }
 * }
 */
class Solution {
    public ListNode[] splitListToParts(ListNode root, int k) {
        ListNode[] res = new ListNode[k];

        if (root == null) {
            return res;
        }

        ListNode curNode = root;
        int count = 0;

        while (curNode != null) {
            curNode = curNode.next;
            ++count;
        }

        int size = count / k, rem = count % k;

        curNode = root;
        for (int i = 0; i < k; i++) {
            ListNode dummy = new ListNode(0);
            ListNode temp = dummy;

            for (int j = 0; j < size + (i < rem ? 1 : 0); j++) {
                temp.next = new ListNode(curNode.val);
                temp = temp.next;
                curNode = curNode.next;
            }
            res[i] = dummy.next;
        }
        return res;
    }
}
```

**(2)** **破坏原有的Linked List结构**

```java
/**
 * Definition for singly-linked list.
 * public class ListNode {
 *     int val;
 *     ListNode next;
 *     ListNode(int x) { val = x; }
 * }
 */
class Solution {
    public ListNode[] splitListToParts(ListNode root, int k) {
        ListNode[] res = new ListNode[k];

        if (root == null) {
            return res;
        }

        ListNode curNode = root;
        int count = 0;

        while (curNode != null) {
            curNode = curNode.next;
            ++count;
        }

        int size = count / k, rem = count % k;

        curNode = root;
        for (int i = 0; i < k; i++) {
            ListNode head = curNode;
            // 减一是因为我们到后面要切开Linked List的部分结构存入res里
            for (int j = 0; j < size + (i < rem ? 1 : 0) - 1; j++) {
                if (curNode != null) {
                    curNode = curNode.next;
                }
            }

            // 切开Linked List
            if (curNode != null) {
                ListNode preNode = curNode;
                curNode = curNode.next;
                preNode.next = null;
            }
            res[i] = head;
        }
        return res;
    }
}
```

## 3. Time & Space Complexity

**不破坏原有的Linked List结构:** 时间复杂度O(n), 空间复杂度O(Max(n, k))

**破坏原有的Linked List结构:** 时间复杂度O(n), 空间复杂度O(k)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://protegejj.gitbook.io/algorithm-practice/leetcode/linked-list/725-split-linked-list-in-parts.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
