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[tool.poetry] | ||
name = "pyhgf" | ||
version = "0.0.0" | ||
description = "Dynamic neural networks for predictive coding" | ||
authors = ["Nicolas Legrand <nicolas.legrand@cas.au.dk>"] | ||
license = "GPL-3.0" | ||
readme = "README.md" | ||
homepage = "https://ilabcode.github.io/pyhgf/" | ||
repository = "https://github.com/ilabcode/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", | ||
] | ||
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[tool.poetry-dynamic-versioning] | ||
# Enable dynamic versioning | ||
enable = true | ||
# Set the source of the version to __init__.py | ||
source = "src/pyhgf/__init__.py" | ||
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[tool.poetry.dependencies] | ||
python = ">=3.10,<3.13" | ||
numpy = "^1.18" | ||
matplotlib = "^3.0.2" | ||
seaborn = "^0.11.2" | ||
arviz = "^0.20.0" | ||
pymc = "^5.17.0" | ||
jax = "^0.4.26,<0.4.32" | ||
jaxlib = "^0.4.26,<0.4.32" | ||
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[tool.poetry.dev-dependencies] | ||
sphinx = "^8.1.3" | ||
pydata-sphinx-theme = "^0.15.2" | ||
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 = "^0.4.1" | ||
ipywidgets = "^8.1.5" | ||
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[build-system] | ||
requires = ["poetry-core"] | ||
build-backend = "poetry.core.masonry.api" |
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