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Скачать или смотреть Mastering GNU Parallel: Efficiently Process Multiple Arguments for Recon-all Command

  • vlogize
  • 2025-05-27
  • 1
Mastering GNU Parallel: Efficiently Process Multiple Arguments for Recon-all Command
parallel compare two arguments and send to commandbashgnugnu parallel
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Описание к видео Mastering GNU Parallel: Efficiently Process Multiple Arguments for Recon-all Command

Discover how to effectively use `GNU Parallel` to run the `recon-all` command on multiple paths simultaneously. Learn the best practices and tips for success!
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This video is based on the question https://stackoverflow.com/q/66090605/ asked by the user 'PatrickHellman' ( https://stackoverflow.com/u/11532852/ ) and on the answer https://stackoverflow.com/a/66098064/ provided by the user 'Ole Tange' ( https://stackoverflow.com/u/363028/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: parallel compare two arguments and send to command

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Mastering GNU Parallel: Efficiently Process Multiple Arguments for Recon-all Command

If you're working with multiple subject paths and need to run the recon-all command in parallel, you might encounter a few challenges. One common issue is the proper extraction and usage of subject identifiers from a list of paths in your script. In this post, we will address how to resolve this problem using GNU Parallel for efficient processing.

The Challenge

Imagine you have an array of subject paths like this:

[[See Video to Reveal this Text or Code Snippet]]

Your goal is to extract the subject identifier (e.g., subj_one) from each path and then run the recon-all command for every subject simultaneously. However, if your command syntax is incorrect, you might end up with a command that does not execute properly, leaving you troubleshooting a dangling or malformed command.

The Original Command Architecture

Your initial approach might look something like this:

[[See Video to Reveal this Text or Code Snippet]]

This attempt aims to set subj_id to the result of an echo and cut command, which won't work as intended. What you need is a working parallel command that properly extracts the subject ID and passes it to recon-all without any hang-ups.

A Better Approach

Using Quoting with GNU Parallel

Instead of trying to extract subject IDs directly in the command line, encapsulate your commands within a quoted string. Here’s how you can do it:

[[See Video to Reveal this Text or Code Snippet]]

Defining a Function for Clarity

While quoting works, it can get cumbersome. A clearer approach is to define a function for your operations. Here’s a neat solution:

[[See Video to Reveal this Text or Code Snippet]]

Why Use a Function?

Using a function not only simplifies your command but also enhances readability and manageability. This makes it easier for anyone (including your future self) to understand what your script is doing.

Additional Tip: Explore --plus

A feature worth mentioning is the --plus option in GNU Parallel. This option might let you define a replacement string directly, potentially eliminating the need for the cut command. It’s a handy trick that can simplify your commands further.

Conclusion

Using GNU Parallel effectively can significantly enhance your workflows, especially when dealing with multiple concurrent tasks. By defining a function and utilizing proper quoting, you can efficiently run commands like recon-all across multiple subject paths.

Now, you have the knowledge to streamline your processes, minimize errors, and make the most out of GNU Parallel in your projects. Happy scripting!

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