Enhanced File Filtering and Bin-Packing Algorithm Implementation

• Day: 2024-10-04
• Time: 21:15 to 21:35
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Bin-Packing, File Management, Automation, Algorithm

Description

Session Goal

The session aimed to enhance a Python script for processing Jupyter Notebook files and implement a bin-packing algorithm for distributing consigna files efficiently.

Key Activities

• Enhanced the Python script to filter out checkpoint directories and files with problematic prefixes, adding error handling for Unicode issues.
• Developed a bin-packing approach using the First-Fit Decreasing (FFD) algorithm to distribute consignas into chunks of a target size without splitting individual consignas.
• Modified the FFD algorithm to balance the size and number of consignas in each chunk, providing pseudocode and example usage.
• Implemented a Python script to recursively find consigna notebooks and distribute them into balanced chunks using the bin-packing algorithm.

Achievements

• Successfully enhanced the file filtering capabilities of the Jupyter Notebook processing script.
• Implemented a bin-packing algorithm to efficiently distribute consigna files, balancing size and count constraints.

Pending Tasks

• Further testing and optimization of the bin-packing algorithm to ensure efficiency across different datasets.

Evidence

• source_file=2024-10-04.sessions.jsonl, line_number=3, event_count=0, session_id=7360737f2e7cc3f2fc1b9641d44c8aeecb4140f50a177dfe66877e36923193eb
• event_ids: []