# Notebooks de développement mais GARDER les samples
notebooks/*.ipynb
notebooks/p8_notebook.ipynb
notebooks/requirements.txt
.ipynb_checkpoints/
# GARDER: notebooks/content/data/test_images_sample/ (nécessaire pour l'app)

# Environment files (variables passées via docker run ou compose)
.env
.env.*
!.env.example

# Python cache et build files
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# Virtual environments
venv/
env/
ENV/
env.bak/
venv.bak/
.venv/

# IDE et editor files
.vscode/
.idea/
*.swp
*.swo
*~
.DS_Store
Thumbs.db

# Git files
.git/
.gitignore
.gitattributes

# Documentation
*.md
!README.MD
docs/
documentation/

# Test files
tests/
test_*/
*_test.py
debug_*.py
pytest.ini
tox.ini
.coverage
.pytest_cache/

# Jupyter notebook outputs
*.nbconvert

# Fichiers temporaires
.cache/
.tmp/
tmp/
temp/
*.tmp
*.temp
*.log
logs/

# OS generated files
.DS_Store?
ehthumbs.db
Icon?

# MLflow artifacts locaux (seront téléchargés depuis le registry)
mlruns/
mlruns.backup/
mlartifacts/

# Backup files
*.bak
*.backup

# Large datasets (samples nécessaires sont gardés)
*.zip
*.tar.gz
*.rar