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