A Python based soft to launch neuroimaging containers on clusters
Project description
launchcontainers
Launchcontainers is a Python-based tool for automatically launching computing works on HPC or local nodes. It helps you:
- Prepare folder structures and input files automatically
- Backup the input configs for data provenance
- 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==0.3.18
and use it in the command line!
- 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:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
launchcontainers-0.3.20.tar.gz
(10.2 MB
view details)
Built Distribution
File details
Details for the file launchcontainers-0.3.20.tar.gz
.
File metadata
- Download URL: launchcontainers-0.3.20.tar.gz
- Upload date:
- Size: 10.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f88849df38dab6523f3ee4c5c794ce663c3786cb7ea34284a4a75e99ee18a21 |
|
MD5 | 1064865c2e62769193d631055b7ab348 |
|
BLAKE2b-256 | 8b69c06c5a08f7344d741b5ea97e170901477c59321f3e17b4f103dc4313a623 |
File details
Details for the file launchcontainers-0.3.20-py3-none-any.whl
.
File metadata
- Download URL: launchcontainers-0.3.20-py3-none-any.whl
- Upload date:
- Size: 10.2 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11d1d7f4ee01b82694fa62ef16381344988abc50f4bee369771b1f5492c4c9d2 |
|
MD5 | 05ef16a77c3b8b8830c3a9f07e1900cf |
|
BLAKE2b-256 | 24c8ad05e48a91299059f07f34e84da39f525a16bf83e38d4227b7c99d12b97f |