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8 changes: 4 additions & 4 deletions .github/scripts/smoke_install.sh
Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,8 @@ sudo apt-get update && sudo apt-get install -y libgsl-dev
pip install numpy cython
pip install arcticpy==2.6 --no-build-isolation --no-deps

pip install ./PyAutoConf ./PyAutoFit ./PyAutoArray ./PyAutoCTI
pip install ./PyAutoNerves ./PyAutoFit ./PyAutoArray ./PyAutoCTI
pip install "./PyAutoArray[optional]"
# The re-resolution above can upgrade autoconf to the stale PyPI release;
# pin the local source last so recent autoconf APIs are importable.
pip install --force-reinstall --no-deps ./PyAutoConf
# The re-resolution above can upgrade autonerves to the stale PyPI release;
# pin the local source last so recent autonerves APIs are importable.
pip install --force-reinstall --no-deps ./PyAutoNerves
2 changes: 1 addition & 1 deletion .github/workflows/smoke_tests.yml
Original file line number Diff line number Diff line change
Expand Up @@ -11,5 +11,5 @@ jobs:
smoke:
uses: PyAutoLabs/PyAutoHeart/.github/workflows/smoke-tests.yml@main
with:
chain: "PyAutoConf PyAutoFit PyAutoArray PyAutoCTI"
chain: "PyAutoNerves PyAutoFit PyAutoArray PyAutoCTI"
secrets: inherit
2 changes: 1 addition & 1 deletion AGENTS.md
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,7 @@ python scripts/dataset_1d/model_fit.py # one script, real search (no env applie
```

CI runs the smoke list through PyAutoHeart's reusable smoke workflow (thin caller in
`.github/workflows/smoke_tests.yml`, chain `PyAutoConf PyAutoFit PyAutoArray PyAutoCTI`; the
`.github/workflows/smoke_tests.yml`, chain `PyAutoNerves PyAutoFit PyAutoArray PyAutoCTI`; the
arcticpy build lives in `.github/scripts/smoke_install.sh`).

## Conventions
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4 changes: 2 additions & 2 deletions legacy/tvac/calibrate.py
Original file line number Diff line number Diff line change
Expand Up @@ -72,7 +72,7 @@
different CTI models to the dataset.

Model-fitting is handled by our project **PyAutoFit**, a probablistic programming language for non-linear model
fitting. The setting up on configuration files is performed by our project **PyAutoConf**. We'll need to import
fitting. The setting up on configuration files is performed by our project **PyAutoNerves**. We'll need to import
both to perform the model-fit.

In this script, we will fit charge injection imaging which has been subjected to CTI, where:
Expand Down Expand Up @@ -214,7 +214,7 @@
different CTI models to the dataset.

Model-fitting is handled by our project **PyAutoFit**, a probablistic programming language for non-linear model
fitting. The setting up on configuration files is performed by our project **PyAutoConf**. We'll need to import
fitting. The setting up on configuration files is performed by our project **PyAutoNerves**. We'll need to import
both to perform the model-fit.

In this script, we will fit charge injection imaging which has been subjected to CTI, where:
Expand Down
2 changes: 1 addition & 1 deletion legacy/tvac/serial_x1.py
Original file line number Diff line number Diff line change
Expand Up @@ -89,7 +89,7 @@
different CTI models to the dataset.

Model-fitting is handled by our project **PyAutoFit**, a probablistic programming language for non-linear model
fitting. The setting up on configuration files is performed by our project **PyAutoConf**. We'll need to import
fitting. The setting up on configuration files is performed by our project **PyAutoNerves**. We'll need to import
both to perform the model-fit.

In this script, we will fit charge injection imaging which has been subjected to CTI, where:
Expand Down
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