arboreto_fdr/pyproject.toml at master · bionetslab/arboreto_fdr · GitHub

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[build-system]
requires = ["hatchling >= 1.26"]
build-backend = "hatchling.build"

[project]
name = "arboreto"
version = "0.1.7"
description = "Scalable gene regulatory network inference using tree-based ensemble regressors with p-values"
readme = "README.rst"
requires-python = ">=3.8"


authors = [
    { name = "Thomas Moerman", email = "thomas.moerman@gmail.com" },
    { name="Anne Hartebrodt", email="anne.hartebrodt@fau.de" },
    { name="Fabian Woller", email="fabian.woller@fau.de" },
    { name="Paul Martini", email="paul.martini@fau.de" },
]

license = { text = "BSD 3-Clause License" }

urls = {Homepage = "https://github.com/bionetslab/arboreto_fdr"}

classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
]

# All scientific/binary-heavy dependencies (which frequently cause build errors)
# have been moved to [tool.pixi.dependencies] to ensure they install via Conda binaries.
dependencies = []


[tool.pixi.workspace]
channels = ["conda-forge"]
platforms = ["linux-64"]

[tool.pixi.dependencies]
python = "*" # Ensure Python is defined as a dependency
dask = "*"
distributed = "*"
numpy = ">=1.16.5" # Retaining your version constraint
pandas = "*"
scikit-learn = "*"
scipy = "*"
scikit-learn-extra = "*"
pyarrow = "*"
numba = "*"

[tool.pixi.pypi-dependencies]
# This section remains for pure-Python packages not available or preferred from Conda,
# but it currently only contains the local editable install.
arboreto = { path = ".", editable = true }

[tool.pixi.environments]
kernel = ["kernel"]


# --- KERNEL ENVIRONMENT  ---
# Defines a new, separate environment named 'kernel'.
[tool.pixi.feature.kernel.dependencies]
python = "*"
dask = "*"
distributed = "*"
numpy = ">=1.16.5" # Retaining your version constraint
pandas = "*"
scikit-learn = "*"
scipy = "*"
scikit-learn-extra = "*"
pyarrow = "*"
ipykernel = "*"
numba = "*"


[tool.pixi.feature.kernel.pypi-dependencies]
# This section remains for pure-Python packages not available or preferred from Conda,
# but it currently only contains the local editable install.
arboreto = { path = ".", editable = true }

[tool.pixi.feature.kernel.tasks]
install-kernel = "python -m ipykernel install --user --name pixi_alternet_new --display-name pixi_alternet_new"
uninstall-kernel = "jupyter kernelspec uninstall pixi_alternet_new"