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docs(content): add Merge Intervals page, quicksort guide, and bump guide badges
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---
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title: '56. Merge Intervals'
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description: Given an array of intervals where intervals[i] = [starti, endi], merge all overlapping intervals, and return an array of the non-overlapping intervals that cover all the intervals in the input
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icon: dot
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topics:
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- { name: "Array", slug: "array" }
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- { name: "Sorting", slug: "sorting" }
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- { name: "Quicksort", slug: "quicksort" }
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sidebar:
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label: 'Merge Intervals'
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badge: 'Medium'
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---
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### Example 1:
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- Input: `intervals = [[1,3],[2,6],[8,10],[15,18]]`
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- Output: `[[1,6],[8,10],[15,18]]`
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- Explanation: Since `intervals [1,3]` and `[2,6]` overlap, merge them into `[1,6]`.
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### Example 2:
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- Input: `intervals = [[1,4],[4,5]]`
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- Output: `[[1,5]]`
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- Explanation: Intervals `[1,4]` and `[4,5]` are considered overlapping.
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### Example 3:
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- Input: `intervals = [[4,7],[1,4]]`
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- Output: `[[1,7]]`
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- Explanation: Intervals `[1,4]` and `[4,7]` are considered overlapping.
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### Constraints:
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- `1 <= intervals.length <= 10^4`
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- `intervals[i].length == 2`
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- `0 <= starti <= endi <= 10^4`
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## Solution
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```py
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class Solution:
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def merge(self, intervals: list[list[int]]) -> list[list[int]]:
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intervals.sort(key=lambda x: x[0])
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result = []
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for start, end in intervals:
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if result and start <= result[-1][1]:
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result[-1][1] = max(result[-1][1], end)
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else:
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result.append([start, end])
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return result
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```
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