pyproject.toml

[tool.poetry]
name = "pyhgf"
description = "Dynamic neural networks for predictive coding"
authors = ["Nicolas Legrand <nicolas.legrand@cas.au.dk>"]
license = "GPL-3.0"
readme = "README.md"
homepage = "https://computationalpsychiatry.github.io/pyhgf/"
repository = "https://github.com/ComputationalPsychiatry/pyhgf"
keywords = ["reinforcement learning", "predictive coding", "neural networks", "graphs", "variational inference", "active inference", "causal inference"]
include = [
    "src/pyhgf/data/usdchf.txt",
    "rc/pyhgf/data/binary_input.txt",
    "src/pyhgf/data/binary_response.txt",
]
classifiers = [
    "Programming Language :: Rust",
    "Programming Language :: Python :: Implementation :: CPython",
    "Programming Language :: Python :: Implementation :: PyPy",
]
version = "0.0.0"

[tool.poetry-dynamic-versioning]
# Enable dynamic versioning
enable = true
# Set the source of the version to __init__.py
source = ".src/pyhgf/__init__.py"

[tool.poetry.dependencies]
python = ">=3.10,<3.13"
numpy = "^1.18"
matplotlib = "^3.4.0"
seaborn = "^0.13.2"
arviz = "^0.20.0"
pymc = "^5.17.0"
jax = "^0.4.26,<0.4.32"
jaxlib = "^0.4.26,<0.4.32"

[tool.poetry.dev-dependencies]
sphinx = "^8.1.3"
pydata-sphinx-theme = "^0.16.1"
sphinxcontrib-bibtex = "^2.6.1"
docutils = "^0.21.2"
myst-nb = "^1.0.0"
numpydoc = "^1.6.0"
myst-parser = "^4.0.0"
graphviz = "^0.20.3"
watermark = "^2.5.0"
systole = "^0.3.0"
sphinx-togglebutton = "^0.3.2"
sphinx-design = "^0.6.1"
sphinx-exercise = "^1.0.1"
ipywidgets = "^8.1.5"
ipykernel = "^6.29.5 "
coverage = "^7.6.3"
pytest = "^8.3.3"
pytest-cov = "^6.0.0"
maturin = "^1.7.4"

[build-system]
requires = ["poetry-core", "poetry-dynamic-versioning>=1.0.0,<2.0.0", "maturin>=1.4,<2.0"]
build-backend = "maturin"

[tool.maturin]
# "extension-module" tells pyo3 we want to build an extension module (skips linking against libpython.so)
features = ["pyo3/extension-module"]