Sun Sep 15 15:45:26 UTC 2024: ## Transmission-Delete-Unwanted: A New Tool for Efficiently Removing Unwanted Files from Torrents
The Python community has released a new tool called `transmission-delete-unwanted` that allows users to remove specific files from downloaded Transmission torrents without corrupting the remaining data. This tool is especially useful for users who want to clean up downloaded torrents and free up disk space, but only need certain files from the torrent.
**How it works:**
– The tool identifies and removes unwanted files while preserving overlapping pieces that may contain data from other wanted files.
– `transmission-delete-unwanted` avoids data corruption issues that arise from naively deleting files from torrents, which can lead to re-downloads.
– For files that cannot be fully removed due to overlapping pieces, the tool trims them, creating a smaller file (with a .part suffix) that only contains the overlapping data. These files are sparse, meaning they occupy minimal disk space despite appearing larger in size.
– In rare cases, where a file is entirely composed of overlapping wanted pieces, the tool will leave the file untouched to avoid data corruption.
**Additional Features:**
– The package also includes `transmission-mark-unwanted`, which allows users to preemptively mark specific files as unwanted during torrent downloads, preventing them from being downloaded in the first place.
– The tool is thoroughly tested and validated to ensure data integrity, but users are still advised to make backups of their torrent data before running the script, especially for valuable data.
**Availability and Installation:**
– `transmission-delete-unwanted` is available on the Python Package Index (PyPI) and can be installed using the `pip` command:
“`bash
pip install transmission-delete-unwanted
“`
**This new tool offers a convenient and safe way to manage torrent downloads, allowing users to keep only the desired files and reclaim valuable disk space without compromising data integrity.**
First Piper 