launchcontainers 0.3.25

A Python based soft to launch neuroimaging containers on clusters

launchcontainers

Launchcontainers is a Python-based tool for automatically launching computing works on HPC or local nodes. It helps you:

1. Prepare folder structures and input files automatically
2. Backup the input configs for data provenance
3. Launching containers in BCBL or DIPC

Currently, launchcontainers works along with anatROIs, RTP-preproc, and RTP2-pipeline.

NEW FEATURES 0.3.x

Now you can pip install launchcontainers==0.3.22 and use it in the command line!

• Add requests into pyproject.toml, remove version limit to common package such as nibabel and numpy
• Changed rtp/rtp2-preproc multishell option to separateed_shell_files
• Edited lc_config.yaml comment about dask_worker options
• Fixed error message by dask progress (0.3.18)
• launchcontainers --copy_configs "~/path/to/working_directory" will copy the corresponding config files to your specified directory!
• We updated the lc_config.yaml for RTP2-pipelines, please have a look!

check the How to use for more information

Check also:

• Home
• Installation
• Manual
  • Edit configs
  • Launch prepare mode
  • Launch run mode
• Reporting, Contribution, and citation
• Supplement: How to use HeuDiConv