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Add a Solution for Removing Duplicates from Sorted Array (LeetCode Problem 26) #402

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---
id: remove-duplicates-from-sorted-array
title: Remove Duplicates from Sorted Array (LeetCode)
sidebar_label: 0026-RemoveDuplicatesFromSortedArray
tags:
- Array
- Two Pointers
description: Given a sorted integer array, remove duplicates in-place and return the new length of the array with unique elements.
---

## Problem Description

| Problem Statement | Solution Link | LeetCode Profile |
| :----------------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------------------------------------------------ | :------------------------------------------------- |
| [Remove Duplicates from Sorted Array](https://leetcode.com/problems/remove-duplicates-from-sorted-array/) | [Remove Duplicates from Sorted Array Solution on LeetCode](https://leetcode.com/problems/remove-duplicates-from-sorted-array/solutions/) | [VijayShankerSharma](https://leetcode.com/u/darkknight648/) |

### Problem Description

Given an integer array `nums` sorted in non-decreasing order, remove the duplicates in-place such that each unique element appears only once. The relative order of the elements should be kept the same. Then return the number of unique elements in `nums`.

Consider the number of unique elements of `nums` to be `k`, to get accepted, you need to do the following things:
- Change the array `nums` such that the first `k` elements of `nums` contain the unique elements in the order they were present in `nums` initially.
- The remaining elements of `nums` are not important as well as the size of `nums`.
- Return `k`.

### Custom Judge

The judge will test your solution with the following code:

```
int[] nums = [...]; // Input array
int[] expectedNums = [...]; // The expected answer with correct length

int k = removeDuplicates(nums); // Calls your implementation

assert k == expectedNums.length;
for (int i = 0; i < k; i++) {
assert nums[i] == expectedNums[i];
}
```

If all assertions pass, then your solution will be accepted.

### Examples

#### Example 1

- **Input:** `nums = [1,1,2]`
- **Output:** `2, nums = [1,2,_]`
- **Explanation:** Your function should return `k = 2`, with the first two elements of `nums` being 1 and 2 respectively. It does not matter what you leave beyond the returned `k` (hence they are underscores).

#### Example 2

- **Input:** `nums = [0,0,1,1,1,2,2,3,3,4]`
- **Output:** `5, nums = [0,1,2,3,4,_,_,_,_,_]`
- **Explanation:** Your function should return `k = 5`, with the first five elements of `nums` being 0, 1, 2, 3, and 4 respectively. It does not matter what you leave beyond the returned `k` (hence they are underscores).

### Constraints

- `1 <= nums.length <= 3 * 10^4`
- `-100 <= nums[i] <= 100`
- `nums` is sorted in non-decreasing order.

### Approach

To solve the problem, we can use the two-pointer technique. Here is the step-by-step approach:

1. **Initialize Pointers:**
- Use `uniqueIndex` to track the position to place the next unique element.

2. **Iterate Through the Array:**
- Traverse the array starting from the second element.
- If the current element is different from the element at `uniqueIndex`, move `uniqueIndex` forward and update it with the current element.

3. **Return Result:**
- The number of unique elements is `uniqueIndex + 1`.

### Solution Code

#### Python

```
class Solution(object):
def removeDuplicates(self, nums):
if len(nums) == 0:
return 0

unique_index = 0 # Pointer for placing unique elements

for i in range(1, len(nums)):
if nums[i] != nums[unique_index]:
# Found a unique element, place it in the next position
unique_index += 1
nums[unique_index] = nums[i]

# The number of unique elements is one more than the index of the last unique element
return unique_index + 1
```

#### Java
```
class Solution {
public int removeDuplicates(int[] nums) {
if (nums.length == 0) return 0;

int uniqueIndex = 0; // Pointer for placing unique elements

for (int i = 1; i < nums.length; i++) {
if (nums[i] != nums[uniqueIndex]) {
// Found a unique element, place it in the next position
uniqueIndex++;
nums[uniqueIndex] = nums[i];
}
}

// The number of unique elements is one more than the index of the last unique element
return uniqueIndex + 1;
}
}
```

#### C++
```
class Solution {
public:
int removeDuplicates(vector<int>& nums) {
if (nums.size() == 0) return 0;

int uniqueIndex = 0; // Pointer for placing unique elements

for (int i = 1; i < nums.size(); i++) {
if (nums[i] != nums[uniqueIndex]) {
// Found a unique element, place it in the next position
uniqueIndex++;
nums[uniqueIndex] = nums[i];
}
}

// The number of unique elements is one more than the index of the last unique element
return uniqueIndex + 1;
}
};
```

### Conclusion

The above solution efficiently removes duplicates from a sorted array in-place. It employs a two-pointer technique to achieve a time complexity of $O(N)$ and a space complexity of $O(1)$. This ensures that the algorithm can handle input sizes up to the upper limit specified in the constraints efficiently, providing a simple yet effective approach to solving the problem of removing duplicates from a sorted array.
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