[project]
name = "studies"
version = "0.1.0"
description = "A curated collection of mathematics and data science projects developed during my academic journey."
readme = "README.md"
requires-python = ">= 3.11"
dependencies = [
    "accelerate>=1.12.0",
    "catboost>=1.2.8",
    "datasets>=4.4.2",
    "faiss-cpu>=1.13.2",
    "imblearn>=0.0",
    "ipykernel>=6.29.5",
    "langchain>=1.2.0",
    "langchain-community>=0.4.1",
    "langchain-huggingface>=1.2.0",
    "langchain-ollama>=1.0.1",
    "langchain-text-splitters>=1.1.0",
    "matplotlib>=3.10.1",
    "nbformat>=5.10.4",
    "numpy>=2.2.5",
    "opencv-python>=4.11.0.86",
    "openpyxl>=3.1.5",
    "pandas>=2.2.3",
    "pandas-stubs>=2.3.2.250926",
    "plotly>=6.3.0",
    "polars>=1.37.0",
    "pypdf>=6.5.0",
    "scikit-learn>=1.6.1",
    "scipy>=1.15.2",
    "seaborn>=0.13.2",
    "sentence-transformers>=5.2.0",
    "shap>=0.49.1",
    "tensorflow>=2.20.0",
    "tf-keras>=2.20.1",
    "xgboost>=3.1.2",
    "yfinance>=0.2.66",
]

[dependency-groups]
dev = [
    "ipykernel>=6.29.5",
    "uv>=0.6.16",
]

[tool.ty.rules]
index-out-of-bounds = "ignore"

[tool.ruff]
extend-include = ["*.ipynb"]
line-length = 88

[tool.ruff.lint]
# Activer les règles de linting courantes
select = ["ALL"]

# Désactiver certaines règles
ignore = [
    "E501", # line too long, géré par le formatter
    "E402", # Imports in top of file
    "T201", # Print
    "N806",
    "N803",
    "N802"
]

# Exclure certains fichiers ou répertoires
exclude = [
    ".bzr",
    ".direnv",
    ".eggs",
    ".git",
    ".hg",
    ".mypy_cache",
    ".nox",
    ".pants.d",
    ".pytype",
    ".ruff_cache",
    ".svn",
    ".tox",
    ".venv",
    "__pypackages__",
    "_build",
    "buck-out",
    "build",
    "dist",
    "node_modules",
    "venv",
]

# Permettre à Ruff de corriger automatiquement certaines erreurs
fixable = ["ALL"]
unfixable = []

[tool.ruff.lint.isort]
# Regrouper les imports par thématiques
section-order = ["future", "standard-library", "third-party", "data-science", "ml", "first-party", "local-folder"]

[tool.ruff.lint.isort.sections]
# On sépare les outils de manipulation de données des frameworks de ML lourds
"data-science" = ["numpy", "pandas", "scipy", "matplotlib", "seaborn", "plotly"]
"ml" = ["tensorflow", "keras", "torch", "sklearn", "xgboost", "catboost", "shap"]