# Git
.git
.gitignore

# DVC internals
.dvc/cache
.dvc/tmp

# CT scan training images are large and not needed inside the container.
# The trained model at artifacts/training/model.h5 is kept so the container
# can serve predictions without a volume mount.
artifacts/data_ingestion/

# Python caches
__pycache__
*.py[cod]
*.pyo
*.pyd
.Python

# Virtual environments and Conda
.venv
venv
env
*.egg-info
dist
build

# Jupyter notebooks (not needed in the container)
research/
*.ipynb
.ipynb_checkpoints

# Logs
logs/
*.log

# Secrets (never bake credentials into the image)
.env

# Test and dev artifacts
uploads/
scores.json

# Editor and OS noise
.vscode
.idea
*.DS_Store
Thumbs.db