[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 = ">= 3.12,<3.14"
dependencies = [
    "catboost>=1.2.10",
    "ipykernel>=7.2.0",
    "ipywidgets>=8.1.8",
    "langchain>=1.2.10",
    "langchain-core>=1.2.18",
    "langchain-huggingface>=1.2.1",
    "langchain-mistralai>=1.1.1",
    "matplotlib>=3.10.8",
    "numpy>=2.4.3",
    "opencv-python>=4.13.0.92",
    "pandas>=3.0.1",
    "pandas-stubs>=3.0.0.260204",
    "plotly>=6.6.0",
    "scikit-learn>=1.8.0",
    "scipy>=1.17.1",
    "seaborn>=0.13.2",
    # "sequenzo>=0.1.20",
    "shap>=0.51.0",
    "spacy>=3.8.11",
    "tensorflow>=2.21.0",
    "tiktoken>=0.12.0",
    "todoist-python>=8.1.4",
    "torch>=2.10.0",
    "umap-learn>=0.5.11",
    "uv>=0.10.9",
    "xgboost>=3.2.0",
]

[dependency-groups]
dev = ["ipykernel>=7.2.0", "uv>=0.10.7"]

[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",
    "N816",
    "PLR0913", # Too many arguments
    "PLR2004", # 
    "FBT001",  # Boolean positional argument used in function definition
    "EM101",
    "TRY003",  # Avoid specifying long messages outside the exception class
]

# 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",
]