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pyproject.toml
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102 lines (83 loc) · 2.28 KB
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[build-system]
requires = ["hatchling >= 1.26"]
build-backend = "hatchling.build"
[project]
name = "alternet"
version = "0.1.0"
authors = [
{ name="Anne Hartebrodt", email="anne.hartebrodt@fau.de" },
{name="Juliane Hoffmann", email = "juliane.hoffmann@fau.de"}]
description = "Alternative splicing aware GRNS"
requires-python = ">=3.10"
license = { text = "GNU General Public License v3 (GPLv3)" }
urls = {Homepage = "https://github.com/bionetslab/alternet"}
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: OS Independent",
]
dependencies = [
"pip",
"ipykernel",
"plotly",
"requests",
"lda",
"numpy",
"scipy",
"pandas",
"scanpy",
"matplotlib",
"arboreto",
"networkx",
"igraph",
"gseapy",
"signifikante @ git+ssh://git@github.com/bionetslab/SignifiKANTE.git@main",
"graphviz", "gprofiler-official>=1.0.0,<2",
]
[tool.hatch.metadata]
# This flag is required to allow direct references (like file: or git+https)
# in the core 'project.dependencies' list.
allow-direct-references = true
[tool.pixi.workspace]
channels = ["conda-forge"]
platforms = ["linux-64"]
[tool.pixi.dependencies]
python = "*"
dask = "*"
distributed = "*"
numpy = "*"
pandas = "*"
scikit-learn = "*"
scipy = "*"
scikit-learn-extra = "*"
pyarrow = "*"
numba = "*"
pytest = "*"
xgboost = "*"
graphviz = "*"
[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.
alternet = { path = ".", editable = true }
[tool.pixi.environments]
kernel = ["kernel"]
# --- KERNEL ENVIRONMENT ---
[tool.pixi.feature.kernel.dependencies]
python = "*"
dask = "*"
distributed = "*"
numpy = "*" # Retaining your version constraint
pandas = "*"
scikit-learn = "*"
scipy = "*"
scikit-learn-extra = "*"
pyarrow = "*"
ipykernel = "*"
numba = "*"
xgboost="*"
graphviz = "*"
[tool.pixi.feature.kernel.pypi-dependencies]
alternet = { path = ".", editable = true }
[tool.pixi.feature.kernel.tasks]
install-kernel = "python -m ipykernel install --user --name pixi_alternet --display-name pixi_alternet"
uninstall-kernel = "jupyter kernelspec uninstall pixi_alternet"