Skip to main content

Command Palette

Search for a command to run...

LeetCode Solution, Easy, 1089. Duplicate Zeros

重複的零

Published

I am not a programmer just a leaner. Writing JavaScript, Python, and Go and doing something on Kubernetes.

1089. Duplicate Zeros

題目敘述

Given a fixed-length integer array arr, duplicate each occurrence of zero, shifting the remaining elements to the right.

Note that elements beyond the length of the original array are not written. Do the above modifications to the input array in place and do not return anything.

Example 1:

Input: arr = [1,0,2,3,0,4,5,0]
Output: [1,0,0,2,3,0,0,4]
Explanation: After calling your function, the input array is modified to: [1,0,0,2,3,0,0,4]

Example 2:

Input: arr = [1,2,3]
Output: [1,2,3]
Explanation: After calling your function, the input array is modified to: [1,2,3]

Constraints:

  • 1 <= arr.length <= 10**4
  • 0 <= arr[i] <= 9

Hint 1

This is a great introductory problem for understanding and working with the concept of in-place operations. The problem statement clearly states that we are to modify the array in-place. That does not mean we cannot use another array. We just don't have to return anything.

Hint 2

A better way to solve this would be without using additional space. The only reason the problem statement allows you to make modifications in place is that it hints at avoiding any additional memory.

Hint 3

The main problem with not using additional memory is that we might override elements due to the zero duplication requirement of the problem statement. How do we get around that?

Hint 4

If we had enough space available, we would be able to accommodate all the elements properly. The new length would be the original length of the array plus the number of zeros. Can we use this information somehow to solve the problem?

題目翻譯

給定一個整數陣列 nums,然後當發現 0 值時就複製兩個值,將後面的元素向後挪移。如果超出原本陣列長度的元素就直接拋棄。

解法解析

這題的解法使用的兩個迴圈處理,第一個迴圈用來找出 0 的數量。

    // 遍歷全部
    for (let i = 0; i <= length_; i++) {
        // 當現在的索引 i + possibleDups > 總長 length_ 的會就中斷
        // 因為後續的元素會被拋棄,所以不需要考慮
        if (i > length_ - possibleDups) {
            break;
        }


        if (arr[i] === 0) {
            // 當索引是最後一位時,做處理
            if (i === length_ - possibleDups) {
                arr[length_] = 0;
                length_--;
                break;
            }
            // 紀錄個數
            possibleDups++;
        }
    }

所以經過上面的處理後原本陣列 arr = [1, 0, 2] 的長度,其實只需要處理 2 個長度而已。容後第二個迴圈從後面往前走,每次遞減 possibleDups

    const last = length_ - possibleDups;
    for (let i = last; i >= 0; i--) {
        arr[i + possibleDups] = arr[i];
        if (arr[i] === 0) {
            possibleDups--;
            arr[i + possibleDups] = arr[i];
        }
    }

解法範例

Go

func duplicateZeros(arr []int) {
    var possibleDups, length_ int = 0, len(arr) - 1
    for i := 0; i <= length_; i++ {
        if i > length_-possibleDups {
            break
        }
        if arr[i] == 0 {
            if i == length_-possibleDups {
                arr[length_] = 0
                length_--
                break
            }
            possibleDups++
        }
    }

    var last int = length_ - possibleDups
    for i := last; i >= 0; i-- {
        arr[i+possibleDups] = arr[i]
        if arr[i] == 0 {
            possibleDups--
            arr[i+possibleDups] = arr[i]
        }
    }
}

JavaScript

/**
 * @param {number[]} arr
 * @return {void} Do not return anything, modify arr in-place instead.
 */
var duplicateZeros = function (arr) {
    let possibleDups = 0,
        length_ = arr.length - 1;
    for (let i = 0; i <= length_; i++) {
        if (i > length_ - possibleDups) {
            break;
        }

        if (arr[i] === 0) {
            if (i === length_ - possibleDups) {
                arr[length_] = 0;
                length_--;
                break;
            }
            possibleDups++;
        }
    }

    const last = length_ - possibleDups;
    for (let i = last; i >= 0; i--) {
        arr[i + possibleDups] = arr[i];
        if (arr[i] === 0) {
            possibleDups--;
            arr[i + possibleDups] = arr[i];
        }
    }
};

Kotlin

class Solution {
    fun duplicateZeros(arr: IntArray): Unit {
        var possibleDups: Int = 0
        var length_: Int = arr.size - 1
        for (i in 0..length_) {
            if (i > length_ - possibleDups) {
                break
            }

            if (arr[i] == 0) {
                if (i == length_ - possibleDups) {
                    arr[length_] = 0
                    length_--
                    break
                }
                possibleDups++
            }
        }

        val last = length_ - possibleDups
        for (i in last downTo 0) {
            arr[i + possibleDups] = arr[i]
            if (arr[i] == 0) {
                possibleDups--
                arr[i + possibleDups] = arr[i]
            }
        }
    }
}

PHP

class Solution
{

    /**
     * @param Integer[] $arr
     * @return NULL
     */
    function duplicateZeros(&$arr)
    {
        $possibleDups = 0;
        $length_ = count($arr) - 1;
        for ($i = 0; $i <= $length_; $i++) {
            if ($i > $length_ - $possibleDups) {
                break;
            }
            if ($arr[$i] == 0) {
                if ($i == $length_ - $possibleDups) {
                    $arr[$length_] = 0;
                    $length_--;
                    break;
                }
                $possibleDups++;
            }
        }

        $last = $length_ - $possibleDups;
        for ($i = $last; $i >= 0; $i--) {
            $arr[$i + $possibleDups] = $arr[$i];
            if ($arr[$i] == 0) {
                $possibleDups--;
                $arr[$i + $possibleDups] = $arr[$i];
            }
        }
    }
}

Python

class Solution:
    def duplicateZeros(self, arr: List[int]) -> None:
        """
        Do not return anything, modify arr in-place instead.
        """
        possible_dups = 0
        length_ = len(arr) - 1

        # Find the number of zeros to be duplicated
        for left in range(length_ + 1):

            # Stop when left points beyond the last element in the original list
            # which would be part of the modified list
            if left > length_ - possible_dups:
                break

            # Count the zeros
            if arr[left] == 0:
                # Edge case: This zero can't be duplicated. We have no more space,
                # as left is pointing to the last element which could be included
                if left == length_ - possible_dups:
                    arr[
                        length_
                    ] = 0  # For this zero we just copy it without duplication.
                    length_ -= 1
                    break
                possible_dups += 1

        # Start backwards from the last element which would be part of new list.
        last = length_ - possible_dups

        # Copy zero twice, and non zero once.
        for i in range(last, -1, -1):
            arr[i + possible_dups] = arr[i]
            if arr[i] == 0:
                possible_dups -= 1
                arr[i + possible_dups] = arr[i]

Rust


Swift

class Solution {
    func duplicateZeros(_ arr: inout [Int]) {
        var possibleDups: Int = 0
        var length_: Int = arr.count - 1
        for i in 0...length_ {
            if i > length_ - possibleDups {
                break
            }

            if arr[i] == 0 {
                if i == length_ - possibleDups {
                    arr[length_] = 0
                    length_ -= 1
                    break
                }

                possibleDups += 1
            }
        }

        var i: Int = length_ - possibleDups
        while i >= 0 {
            arr[i + possibleDups] = arr[i]
            if arr[i] == 0 {
                possibleDups -= 1
                arr[i + possibleDups] = arr[i]
            }
            i -= 1
        }
    }
}

More from this blog

如何開始入門軟體工程領域 - 名詞解釋(長期更新)

現在應該開始有很多人想要踏入軟體工程的領域,但在進入這個領域之前,覺得先了解一些名詞,可以在入門時更有方向也更知道要用什麼關鍵字去找尋有用的資訊。這篇文章就是想要幫助想要入門的人理解一些軟體工程裡的專有名詞。 作業系統 這一區塊主要解釋跟作業系統層面相關的名詞 英文中文解釋 Operation system 簡稱 OS | 作業系統 | 就是電腦的作業系統,是三大作業系統分別是:Linux、Windows、macOS | | Linux | | 自由和開放原始碼的 UNI...

May 10, 2023

我的 MacBook Pro (Apple Silicon) 設定

現在開始因為 ChatGPT 的出現,各種 AI 助手的功能都跑出來了。想想自己用了許久的環境設定也應該要來重新審視和建立新的開發環境了,僅此紀錄我個人的環境配置步驟和設定。 環境前置步驟 還原 MacBook Pro 至全新環境 macOS(全部資料刪除) 設定好初始設定後,登入 Apple ID 進入 App Store 確定 macOS 版本和預設 APP 都更新到最新 macOS 版本 到系統設定調整所有設定至個人習慣的設定 三指拖移 觸控板手勢開啟 防火牆開啟 輸入法設定...

Apr 25, 2023

ChatGPT 下的發展預想

從 ChatGPT 問世到現在,有許許多多的文章和討論出來。先從最早的 Google 要完蛋了,到後來的工作要被取代了,工程師失業了。 我就比較沒有想要馬上出來評論一下,我喜歡讓子彈飛一會兒。跟討論一下我自己比較在意的討論點。 Google 為什麼慢了? 結論:因為他需要更小心 很多人說 Google 怎麼被微軟搶先了一步。剛開始 Bing 說要加上 AI 的時候大家都在說 Google 怎麼慢了。我就馬上跑去看 OpenAI 的網站,靠北呀啊就 Azure 贊助的。那當然在正式上線 ChatG...

Mar 23, 2023

不工程的攻城獅

223 posts

I am not a programmer because I am not good at programming. But I do programming. Love to learn new things. An animal lover and a dancer. My oshi is 潤羽るしあ.