Wailord is a python library to interact with ORCA
Project description
Wailord is a python library to interact with ORCA
Free software: GNU General Public License v3
Documentation: https://wailord.xyz
Being written up. Till then feel free to use the ZenodoDOI.
Features
Part of the rgpkgs suite: depends on rgpycrumbs (config/pins/ensure_import) and chemparseplot (unit helpers). Suite config is shared (~/.config/rgpkgs/config.toml, project rgpkgs.toml) — wailord does not invent its own pin file. See wailord.suite.
Integrates with SLURM in a manner of speaking
Generic helpers for building arbitrary input files
Generates data-frames for all supported runs
Limitations
By choice, the split-job syntax has not been included
Credits
Initially conceived during EFN115F
This package was based off the audreyr/cookiecutter-pypackage Cookiecutter template
The image is from wallhaven.cc
The favicon is from Bulbagarden
Install (rgpkgs suite)
Recommended one-shot for the full suite peers (chemparseplot grammar track + pychum inputs):
pip install 'wailord[suite]'
That expands to wailord[grammar,pychum]: grammar-backed XYZ/ORCA text parsing and modern ORCA input generation. Hard deps already pull rgpycrumbs and chemparseplot; the suite extra adds the optional grammar stack and pychum.
Manual peer list (secondary; prefer the suite extra above):
pip install 'chemparseplot[grammar]' pychum rgpycrumbs
Migration (rgpkgs suite)
Wailord is a batch / experiment shell for ORCA workflows. Parsing and plotting belong in chemparseplot; new ORCA inputs belong in pychum.
wailord.io.xyz.xyzIO → chemparseplot.api.parse_xyz / chemparseplot.parse.grammar
wailord.io.orca.parseOut → chemparseplot.api.parse_orca_final_energy / parse_orca_text_summary
wailord.io.orca.orcaVis → chemparseplot plot/parse modules for surfaces
wailord.io.inp.inpGenerator → pychum.render_orca (deprecated wrapper)
What stays in wailord (batch shell):
* Cookiecutter experiment scaffolding (``wailord.exp.cookies``, ``_templates/``) * HTST rate helper (``wailord.io.orca.calc_htst``) over frequency-job outputs * SLURM-oriented out-file filters in multi-job table loaders
eOn CON/outcome I/O never lives in wailord — use chemparseplot and readcon-core (PyPI: readcon). siuba experiment APIs are not part of the suite and are not ported.
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