mirror of
https://github.com/ArthurDanjou/ArtStudies.git
synced 2026-03-16 03:11:46 +01:00
119 lines
2.5 KiB
TOML
119 lines
2.5 KiB
TOML
[project]
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name = "studies"
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version = "0.1.0"
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description = "A curated collection of mathematics and data science projects developed during my academic journey."
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readme = "README.md"
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requires-python = ">= 3.12,<3.14"
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dependencies = [
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"catboost>=1.2.10",
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"flask>=3.1.3",
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"ipykernel>=7.2.0",
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"ipywidgets>=8.1.8",
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"langchain>=1.2.10",
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"langchain-core>=1.2.18",
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"langchain-huggingface>=1.2.1",
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"langchain-mistralai>=1.1.1",
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"matplotlib>=3.10.8",
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"numpy>=2.4.3",
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"opencv-python>=4.13.0.92",
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"pandas>=3.0.1",
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"pandas-stubs>=3.0.0.260204",
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"plotly>=6.6.0",
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"scikit-learn>=1.8.0",
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"scipy>=1.17.1",
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"seaborn>=0.13.2",
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# "sequenzo>=0.1.20",
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"shap>=0.51.0",
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"spacy>=3.8.11",
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"tensorflow>=2.21.0",
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"tiktoken>=0.12.0",
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"todoist-python>=8.1.4",
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"torch>=2.10.0",
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"umap-learn>=0.5.11",
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"uv>=0.10.9",
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"xgboost>=3.2.0",
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]
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[dependency-groups]
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dev = ["ipykernel>=7.2.0", "uv>=0.10.7"]
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[tool.ty.rules]
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index-out-of-bounds = "ignore"
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[tool.ruff]
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extend-include = ["*.ipynb"]
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line-length = 88
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[tool.ruff.lint]
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# Activer les règles de linting courantes
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select = ["ALL"]
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# Désactiver certaines règles
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ignore = [
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"E501", # line too long, géré par le formatter
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"E402", # Imports in top of file
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"T201", # Print
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"N806",
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"N803",
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"N802",
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"N816",
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"PLR0913", # Too many arguments
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"PLR2004", #
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"FBT001", # Boolean positional argument used in function definition
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"EM101",
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"TRY003", # Avoid specifying long messages outside the exception class
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]
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# Exclure certains fichiers ou répertoires
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exclude = [
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".bzr",
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".direnv",
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".eggs",
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".git",
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".hg",
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".mypy_cache",
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".nox",
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".pants.d",
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".pytype",
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".ruff_cache",
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".svn",
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".tox",
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".venv",
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"__pypackages__",
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"_build",
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"buck-out",
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"build",
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"dist",
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"node_modules",
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"venv",
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]
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# Permettre à Ruff de corriger automatiquement certaines erreurs
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fixable = ["ALL"]
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unfixable = []
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[tool.ruff.lint.isort]
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# Regrouper les imports par thématiques
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section-order = [
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"future",
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"standard-library",
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"third-party",
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"data-science",
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"ml",
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"first-party",
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"local-folder",
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]
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[tool.ruff.lint.isort.sections]
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# On sépare les outils de manipulation de données des frameworks de ML lourds
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"data-science" = ["numpy", "pandas", "scipy", "matplotlib", "seaborn", "plotly"]
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"ml" = [
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"tensorflow",
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"keras",
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"torch",
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"sklearn",
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"xgboost",
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"catboost",
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"shap",
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]
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