# Core AWS and SageMaker dependencies
boto3>=1.39.0
botocore>=1.39.0
sagemaker>=2.248.0

# Data validation and configuration
pydantic>=2.11.0
PyYAML>=6.0.0

# Graph and workflow management
networkx>=3.0.0

# CLI and utilities
click>=8.2.0
requests>=2.32.0
packaging>=24.2.0
typing_extensions>=4.14.0

# Data processing (required by scripts)
pandas>=2.1.0
numpy>=1.26.0
scikit-learn>=1.3.0
joblib>=1.5.0
pyarrow>=14.0.0

# Pytorch (for specific model training scripts)
torch>=2.0.0
torchvision>=0.15.0
torchaudio>=2.0.0
pytorch-lightning>=2.0.0
torchmetrics>=1.0.0
lightning>=2.0.0

# NLP libraries (used in specific scripts)
transformers>=4.30.0
spacy>=3.7.0
tokenizers>=0.15.0
huggingface-hub>=0.20.0
gensim>=4.3.0
beautifulsoup4>=4.12.0

# Optional ML frameworks (used in specific scripts)
xgboost>=2.0.0
lightgbm>=4.0.0
matplotlib>=3.8.0

# Model deployment and serving
onnx>=1.15.0
onnxruntime>=1.16.0
flask>=3.0.0
seaborn>=0.12.0

# Development dependencies
pytest>=7.0.0
pytest-cov>=4.0.0
pytest-mock>=3.10.0
black>=23.0.0
flake8>=6.0.0
isort>=5.0.0
mypy>=1.0.0
pre-commit>=3.0.0
