TFG/pyproject.toml at develop · dacxjo/TFG · GitHub

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[project]
name = "project-aletheia"
version = "0.1.0"
description = "Undergraduate thesis on breast cancer molecular subtype classification using MultiAxis-Vision Transformer"
authors = [
    { name = "David Blandón", email = "djesus1906@protonmail.com" }
]
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
    "pandas (>=2.2.3,<3.0.0)",
    "torch (>=2.6.0,<3.0.0)",
    "torchvision (>=0.21.0,<0.22.0)",
    "onnxruntime (>=1.21.0,<2.0.0)",
    "plotly (>=6.0.1,<7.0.0)",
    "matplotlib (>=3.10.1,<4.0.0)",
    "scikit-learn (>=1.6.1,<2.0.0)",
    "wandb (>=0.19.8,<0.20.0)",
    "numpy (>=2.2.4,<3.0.0)",
    "ipykernel (>=6.29.5,<7.0.0)",
    "pydicom (>=3.0.1,<4.0.0)",
    "openpyxl (>=3.1.5,<4.0.0)",
    "nbformat (>=5.10.4,<6.0.0)",
    "opencv-python (>=4.11.0.86,<5.0.0.0)",
    "tqdm (>=4.67.1,<5.0.0)",
    "lightning (>=2.5.1,<3.0.0)",
    "rich (>=14.0.0,<15.0.0)",
    "torchmetrics (>=1.7.1,<2.0.0)",
    "albumentations (>=2.0.5,<3.0.0)",
    "ipywidgets (>=8.1.6,<9.0.0)",
    "dotenv (>=0.9.9,<0.10.0)",
    "onnx (>=1.17.0,<2.0.0)",
    "seaborn (>=0.13.2,<0.14.0)"
]


[build-system]
requires = ["poetry-core>=2.0.0,<3.0.0"]
build-backend = "poetry.core.masonry.api"

[tool.poetry]
package-mode = false
packages = [{ include = "src", from = "." }]

[tool.poetry.scripts]
train = "train:main"
test = "test:main"
predict = "predict:main"