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        "author": "Feng Zhu",
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            "License :: OSI Approved :: MIT License",
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        "description": "[![PyPI](https://img.shields.io/pypi/v/slmr.svg)]()\n\n# sLMR\n\nThis is a scripting system for the Last Millennium Reanalysis project,\nor [LMR](https://atmos.washington.edu/~hakim/lmr/).\n\n## Package dependencies\n+ [p2k](https://github.com/fzhu2e/p2k): A collection of functions used for PAGES2k dataset analysis (`pip install p2k`)\n+ [tqdm](https://github.com/tqdm/tqdm): A fast, extensible progress bar for Python and CLI (`pip install tqdm`)\n+ [prysm-api](https://github.com/fzhu2e/prysm-api): The API for PRoxY System Modeling (PRYSM) (`pip install prysm-api`)\n+ [dotmap](https://github.com/drgrib/dotmap): Dot access dictionary with dynamic hierarchy creation and ordered iteration (`pip install dotmap`)\n+ [xarray](https://github.com/pydata/xarray): N-D labeled arrays and datasets in Python (`pip install xarray`)\n+ [netCDF4](https://github.com/Unidata/netcdf4-python): the python interface for netCDF4 format (`conda install netCDF4`)\n+ [pyspharm](https://code.google.com/archive/p/pyspharm/): an  object-oriented python interface to the NCAR SPHEREPACK library (`conda install -c conda-forge pyspharm`)\n\n## Features\n\n+ [v0.1] Running LMR with [Slurm](https://slurm.schedmd.com/) on a cluster with just one command line\n+ [v0.2] Post-processing: pick files with the same filename from different directories\n+ [v0.3] LMR Turbo (LMRt): the packaged version of the LMR framework with multiprocessing support \n    + [a quickstart notebook](https://nbviewer.jupyter.org/github/fzhu2e/sLMR/blob/master/notebooks/01.lmrt_quickstart.ipynb)\n    + [a notebook on building Ye files](https://nbviewer.jupyter.org/github/fzhu2e/sLMR/blob/master/notebooks/02.build_Ye.ipynb)\n\n## How to install\nSimply\n```bash\npip install slmr\n```\nand there will be an executable command `slmr` in your `PATH`.\n\n## Usage examples\nBelow are some usage examples of `slmr`.\nFor more details, please check\n ```bash\n slmr -h\n ```\n\n### Running LMR with Slurm\nWe need to prepare all the data and configurations required for LMR first,\nthen we are able to run LMR with [Slurm](https://slurm.schedmd.com/) on a cluster\nwith just one command line:\n\n```bash\nslmr job -c config.yml -n 4 -nn hungus -rp 0 2000 -em slmr@gmail.com -x test_ccsm4\n\n# slmr job: use the mode of submitting a slurm job\n# -c config.yml: use \"config.yml\" as a configuration template\n# -n 4 -nn hungus: run LRM with 4 threads on the node \"hungus\"\n# -rp 0 2000: reconstruction period to be from 0 to 2000 C.E.\n# -em slmr@gmail.com: notification will be sent to \"slmr@gmail.com\"\n# -x test_ccsm4: the experiment is named as \"test_ccsm4\"\n ```\n\n### Post-processing: pick files\n```bash\nslmr pp pick_files -f gmt.npz -d dir1 dir2 -s ./gmt_files\n\n# slmr pp: use the mode of post-processing\n# pick_files: the post-processing task to be pick_files\n# -f gmt.npz: pick files named as \"gmt.npz\"\n# -d dir1 dir2: pick files from the specified directories dir1 and dir2; more dirs can be followed\n# -s ./gmt_files: save the found files to the directory \"./gmt_files\"\n```\n\n## License\nMIT License\n\nCopyright (c) 2018 Feng Zhu",
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