A scripting system for the Last Millennium Reanalysis (LMR) project.
Project description
sLMR
This is a scripting system for the Last Millennium Reanalysis project, or LMR.
Requirement
Python 3
Features
- [v0.1] Running LMR with Slurm on a cluster with just one command line
- [v0.2] Post-processing: pick files with the same filename from different directories
- [v0.3] LMR Turbo (LMRt): the packaged version of the LMR framework with multiprocessing support (a quickstart notebook)
How to install
Simply
pip install slmr
and there will be an executable command slmr
in your PATH
.
Usage examples
Below are some usage examples of slmr
.
For more details, please check
slmr -h
Running LMR with Slurm
We need to prepare all the data and configurations required for LMR first, then we are able to run LMR with Slurm on a cluster with just one command line:
slmr job -c config.yml -n 4 -nn hungus -rp 0 2000 -em slmr@gmail.com -x test_ccsm4
# slmr job: use the mode of submitting a slurm job
# -c config.yml: use "config.yml" as a configuration template
# -n 4 -nn hungus: run LRM with 4 threads on the node "hungus"
# -rp 0 2000: reconstruction period to be from 0 to 2000 C.E.
# -em slmr@gmail.com: notification will be sent to "slmr@gmail.com"
# -x test_ccsm4: the experiment is named as "test_ccsm4"
Post-processing: pick files
slmr pp pick_files -f gmt.npz -d dir1 dir2 -s ./gmt_files
# slmr pp: use the mode of post-processing
# pick_files: the post-processing task to be pick_files
# -f gmt.npz: pick files named as "gmt.npz"
# -d dir1 dir2: pick files from the specified directories dir1 and dir2; more dirs can be followed
# -s ./gmt_files: save the found files to the directory "./gmt_files"
License
MIT License
Copyright (c) 2018 Feng Zhu
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