Enhanced algorithm debugging and optimization

📅 2024-04-17 — Session: Enhanced algorithm debugging and optimization

🕒 19:05–19:40
🏷️ Labels: Algorithm, Debugging, Optimization, Python, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to analyze and optimize various algorithm implementations, focusing on debugging and improving error handling and output visualization.

Key Activities

• Conducted a comparative analysis of pointer adjustments in merged array implementations, focusing on decision-making processes and complexity reduction.
• Modified the merge_and_count algorithm to include print statements in Spanish, aiding in tracking the flow and counting inversions.
• Added print instructions to the closest_pair_of_points function and its auxiliaries for better understanding of the algorithm’s flow.
• Revised the closest_split_pair function to prevent a TypeError by ensuring a valid pair of points is always returned.
• Addressed an error in the closest_pair_rec function by adjusting code to handle base cases and ensure valid returns from auxiliary functions.
• Debugged the diameter_of_binary_tree function by adding print statements to visualize node traversal and diameter calculation.

Achievements

• Improved understanding and visualization of algorithm processes through added print statements.
• Enhanced error handling in the closest_split_pair and closest_pair_rec functions.
• Clarified decision-making strategies in pointer adjustments for merged arrays.

Pending Tasks

• Further optimize the merge_and_count and closest_pair_of_points algorithms based on insights gained.
• Review and refine print statement outputs for clarity and conciseness.