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added merge interval problem on the array data structure#14009
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Updated type hints from List to built-in list for compatibility.
shivaganesht left a comment
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Excellent contribution! The Merge Intervals solution is well-implemented and addresses a classic interview problem effectively.
Strengths:
- Clear type hints with list[list[int]] specification
- Good documentation explaining the algorithm approach
- Handles edge cases properly
- Time complexity O(n log n) due to sorting is optimal
Code quality:
- Function signature is clear and type-safe
- Comments explain the merging logic well
- Variable names are descriptive
Suggestion: Consider adding a docstring with:n- Example usage
- Time and space complexity analysis
- Edge cases handled
This is a solid addition to the arrays collection!
Added edge cases handling and updated complexity notes.
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Updated type hints and docstring formatting in merge_intervals function.
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Click here to look at the relevant links ⬇️
🔗 Relevant Links
Repository:
Python:
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| """ | ||
| if not intervals: | ||
| return [] |
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An error occurred while parsing the file:data_structures/arrays/merge_intervals.py
Traceback (mostrecentcalllast):File"/opt/render/project/src/algorithms_keeper/parser/python_parser.py",line146,inparsereports=lint_file(^^^^^^^^^^libcst._exceptions.ParserSyntaxError:SyntaxError @42:5.parsererror:errorat41:4:expectedoneof (,*,+,-, ...,AWAIT,DEDENT,False,NAME,NUMBER,None,True, [,break,continue,lambda,match,not,pass,~return []^
Updated docstring formatting and improved error message clarity.
for more information, seehttps://pre-commit.ci
gokul000410 commentedDec 15, 2025
Thank you for the suggestion! I have updated the merge_intervals function as follows:
Please let me know if any further changes are needed. |
This project/file contains a solution to the Merge Intervals problem, a common coding interview problem.
Problem Statement:
Given a collection of intervals, merge all overlapping intervals and return a list of non-overlapping intervals that cover all the intervals in the input.
Example:
Input: [[1,3],[2,6],[8,10],[15,18]]
Output: [[1,6],[8,10],[15,18]]
Key Points:
Handles overlapping intervals efficiently.
Time Complexity: O(n log n) due to sorting.
Space Complexity: O(n) for storing the merged intervals.
Usage:
The solution can be directly tested with custom interval inputs.
Ideal for practice in coding interviews and algorithm learning.