PyAutoNerves
PyAutoNerves is the Nerves of the PyAutoScientist — the configuration,
serialization, and I/O foundation (package autonerves) connecting the
workspace's conventions to every library. It provides a layered configuration
system with workspace overrides, dict / JSON / CSV serialization of arbitrary
objects, and FITS I/O.
PyAutoFit, PyAutoArray, PyAutoGalaxy, and PyAutoLens all depend on
autonerves: it supplies their packaged default config, the object-serialization
used to persist models and results, and shared utilities (test_mode,
jax_wrapper). Centralising these here keeps a single, consistent config and
I/O layer beneath every library. As a released library it ships with every
nightly train — see the
PyAutoHands release board for the
current version.
Install
pip install autonerves
Examples
Layered config — read a directory of YAML into a queryable Config:
from autonerves.conf import Config
config = Config("path/to/config") # directory of YAML files
value = config["general"]["model"]["section"]["value"]
JSON serialization — round-trip arbitrary Python objects:
from autonerves.dictable import output_to_json, from_json
data = {"sersic_index": 4.0, "centre": [0.0, 0.0]}
output_to_json(data, "model.json")
restored = from_json("model.json") # == data
FITS I/O — write and read a NumPy array:
import numpy as np
from autonerves.fitsable import output_to_fits, ndarray_via_fits_from
arr = np.arange(12.0).reshape(3, 4)
output_to_fits(values=arr, file_path="demo.fits", overwrite=True)
loaded = ndarray_via_fits_from(file_path="demo.fits", hdu=0) # np.allclose(arr, loaded)
Links
- Source & tests:
autonerves/,test_autonerves/ - Agent/contributor instructions:
AGENTS.md - The organism this repo is the Nerves of: PyAutoBrain/ORGANISM.md, documented in full at https://pyautoscientist.readthedocs.io
- Ecosystem: PyAutoLabs on GitHub
1 maintainer
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