spice/pyproject.toml at main · prob-ml/spice · GitHub

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[tool.poetry]
name = "spatial"
version = "0.1.0"
description = "Deep Generative Models for Spatial Transcriptomics"
authors = ["Roman Kouznetsov, Jackson Loper, Jeffrey Regier"]
license = "MIT"

[tool.poetry.dependencies]
python = "~3.10"
torch = "2.0.0"
torch-scatter = { url = "https://data.pyg.org/whl/torch-2.0.0+cu117/torch_scatter-2.1.1+pt20cu117-cp310-cp310-linux_x86_64.whl" }
torch-sparse = { url = "https://data.pyg.org/whl/torch-2.0.0+cu117/torch_sparse-0.6.17+pt20cu117-cp310-cp310-linux_x86_64.whl" }
torch-cluster = { url = "https://data.pyg.org/whl/torch-2.0.0+cu117/torch_cluster-1.6.1+pt20cu117-cp310-cp310-linux_x86_64.whl" }
torch-spline-conv = { url = "https://data.pyg.org/whl/torch-2.0.0+cu117/torch_spline_conv-1.2.2+pt20cu117-cp310-cp310-linux_x86_64.whl" }
torch-geometric = ">=1.6.3"
scikit-learn = ">=0.24.1"
jupyter = "^1.0.0"
pytorch-lightning = ">=2.0.0"
pandas = "^1.2.2"
hydra-core = "^1.0.6"
nbstripout = ">=0.5.0"
h5py = "^3.5.0"
pillow = "^9.0.0"
numpy = ">=1.22.0"
shap = ">=0.41.0"
matplotlib = ">=1.0.0"
seaborn = "^0.13.2"
tensorboard = "^2.18.0"
lxml = "^5.3.1"
bs4 = "^0.0.2"
lightgbm = "^4.6.0"
anndata = "^0.11.4"

[tool.poetry.dev-dependencies]
pytest = "^6.2.1"
pytest-cov = "^2.11.1"
black = "^22.3.0"
jupyter = "^1.0.0"
pylint = "^2.6.0"
pre-commit-hooks = "^3.4.0"
pre-commit = "^2.10.1"
rope = "^0.18.0"
isort = "^5.7.0"
jedi = "^0.17.2"
wemake-python-styleguide = ">=0.15.1"
tqdm = "^4.62.3"

[tool.poetry.scripts]
spatial = "spatial.main:main"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"