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View All on GitHubAI Summary: Optimize the line counting functionality within a Python library for analyzing directory structures. The current implementation is slow for large files (100MB+), and the task involves improving its efficiency, potentially through a hybrid approach (using different methods for small and large files) or by adding an option to skip line counting for large files altogether. Thorough testing is required to ensure accuracy and performance improvements.
Python library for analyzing and visualizing directory structures with multiple output formats, filtering and ZIP archive creation
AI Summary: Implement an optional progress callback function in a Python library to provide feedback to the user during long-running directory scans. The callback should accept the number of files processed and the current file path as input. Testing should be performed with various project sizes and progress visualization libraries.
Python library for analyzing and visualizing directory structures with multiple output formats, filtering and ZIP archive creation