This set of challenges is designed to test your skills in advanced Python programming, debugging, problem-solving, and real-world scenario-based problem analysis. You will be solving problems that involve:
Debugging faulty algorithms. Tackling advanced computational problems. Dealing with real-world scenario-based challenges, such as load balancing or financial data analysis. Each challenge emphasizes critical thinking, optimization techniques, and mastery over Python's core functionality, focusing on real-time problem-solving.
Eligibility: The challenges are open to all users with a basic understanding of Python and algorithmic problem-solving. Time Limits: Each problem has a specific time limit of 1-3 seconds depending on the difficulty. There is no limit on the number of submissions before the deadline, but after the contest closes, only the last submitted solution will be considered for scoring. Coding Standards: Use Python as the primary language for solving these challenges. Code should be optimized for time and space complexity. Solutions must follow problem-specific input/output formats. Plagiarism: Copying code or using unauthorized external help is strictly prohibited. Submissions flagged for plagiarism will be disqualified. Debugging Specific Rules: In debugging challenges, the original code will have intentional errors that participants need to identify and fix. You are only required to fix the code logic without changing the overall structure of the problem.
Debugging Challenges:
Each debugging problem is worth 10 points. Points are awarded for correctly identifying and fixing the bugs in the given code. Full points are awarded for correct output; no partial points for incorrect results. Advanced Algorithmic Problems:
Each advanced hard-level problem is worth 20 points. Full points are given for correct answers within the time and space limits. Incorrect or incomplete solutions score 0. Scenario-based Challenges:
Each scenario-based challenge is worth 30 points. Scoring is based on correct results and efficient problem-solving strategies. Additional points may be given for optimal performance with extra constraints such as time or resource limitations. Penalty:
For each incorrect submission, there is a 1-point penalty from the total score.