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refactor!: reference autonerves (package renamed from autoconf) #57

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Merged
Jammy2211 merged 2 commits into from
Jul 19, 2026
Merged

refactor!: reference autonerves (package renamed from autoconf) #57

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f29de35
refactor!: point the Colab bootstrap at `autonerves` (renamed from au…
claude Jul 19, 2026
47c154a
chore: rename repo references PyAutoConf -> PyAutoNerves (CI chain + …
claude Jul 19, 2026
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4 changes: 2 additions & 2 deletions .github/scripts/smoke_install.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,8 @@
set -e

if [ "$PYTHON_VERSION" = "3.12" ]; then
pip install ./PyAutoConf "./PyAutoFit[optional]"
pip install ./PyAutoNerves "./PyAutoFit[optional]"
else
pip install ./PyAutoConf ./PyAutoFit
pip install ./PyAutoNerves ./PyAutoFit
fi
pip install nautilus-sampler
2 changes: 1 addition & 1 deletion .github/workflows/smoke_tests.yml
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Expand Up @@ -11,5 +11,5 @@ jobs:
smoke:
uses: PyAutoLabs/PyAutoHeart/.github/workflows/smoke-tests.yml@main
with:
chain: "PyAutoConf PyAutoFit"
chain: "PyAutoNerves PyAutoFit"
secrets: inherit
4 changes: 2 additions & 2 deletions AGENTS.md
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Expand Up @@ -4,7 +4,7 @@ This is the integration-test suite for **PyAutoFit**, run on the build server to
library works end-to-end. It is **not** a user-facing workspace — see `../autofit_workspace` for
examples and tutorials. These are the canonical, agent-agnostic instructions for this repo.

Dependencies: `autofit` (and `autoconf`).
Dependencies: `autofit` (and `autonerves`).

## Repository Structure

Expand Down Expand Up @@ -70,7 +70,7 @@ write from a header skim silently deletes every section below the header.

## Related Repos

- Source libs: `../PyAutoFit`, `../PyAutoConf`.
- Source libs: `../PyAutoFit`, `../PyAutoNerves`.
- `../autofit_workspace` — the user-facing workspace; `../HowToFit` — the tutorial series.
- `../PyAutoHands` — CI / build tooling.

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2 changes: 1 addition & 1 deletion scripts/features/latent_nan_robustness.py
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Expand Up @@ -14,7 +14,7 @@
This script uses a two-latent ``af.ex.Analysis`` subclass (the shipped example
analysis has a single latent; two latents exercise the additional
``zip(LATENT_KEYS, values)`` mis-alignment that a dropped column causes). The
``PYAUTO_LATENT_NAN_INJECT=stride:N`` knob (``autoconf.test_mode``) sets NaN on
``PYAUTO_LATENT_NAN_INJECT=stride:N`` knob (``autonerves.test_mode``) sets NaN on
latent column 0 (``gaussian.fwhm``) for every sample whose absolute index is a
non-zero multiple of ``N``. With ``N >= batch_size`` batch 0 stays finite and
seeds the model with both keys; a later batch loses column 0.
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