# Python 3.10 compatible versions

# Core ML and Data Science Libraries
tensorflow>=2.20.0,<2.21.0
keras>=3.13.2
numpy>=1.26.0,<2.0.0
pandas>=2.0.0,<2.3.0
scikit-learn>=1.3.0,<1.7.0

# Text Processing
tensorflow-io-gcs-filesystem>=0.31.0

# Visualization
matplotlib>=3.7.0,<3.10.0
seaborn>=0.12.0,<0.13.0

# Data Handling
pickle5>=0.0.11
json5>=0.9.0
tqdm>=4.67.1

# Optional: If you want to download data from Kaggle
kaggle>=1.7.4

# Optional: For enhanced data processing
bleach>=6.2.0,<7.0.0
charset-normalizer>=3.4.2,<4.0.0
urllib3>=2.6.3,<3.0.0

# Development and Jupyter Support (if needed)
jupyter>=1.0.0,<2.0.0
ipython>=8.0.1,<9.0.0

# Additional TensorFlow dependencies
h5py>=3.11.0
protobuf>=6.33.5,<7.0.0
absl-py>=1.4.0
astunparse>=1.6.3
gast>=0.4.0
google-pasta>=0.2.0
libclang>=18.1.1
opt-einsum>=3.3.0
termcolor>=2.1.0
typing-extensions>=4.5.0
wrapt>=1.14.0
grpcio>=1.56.2,<2.0.0
tensorboard>=2.20.0,<2.21.0
ml-dtypes>=0.5.1,<1.0.0

# Date and Time
python-dateutil>=2.8.2

# For regularization and advanced features
scipy>=1.10.0,<1.16.0
joblib>=1.5.1
threadpoolctl>=3.6.0

# Web frameworks
fastapi>=0.115.0,<1.0.0
uvicorn[standard]>=0.24.0,<1.0.0
Flask>=3.0.0,<4.0.0
Flask-CORS>=4.0.0,<5.0.0

# Database drivers
motor>=3.3.2,<4.0.0
pymongo>=4.6.0,<5.0.0

# Blockchain & Web3
web3>=6.15.1,<7.0.0
eth-account>=0.10.0,<1.0.0

# IPFS client (optional)
ipfshttpclient==0.8.0a2

# Environment & configuration
python-dotenv>=1.0.0,<2.0.0

# Data validation
pydantic>=2.5.3,<3.0.0

# Authentication & security
python-jose>=3.4.0,<4.0.0
PyJWT>=2.8.0,<3.0.0
passlib[bcrypt]>=1.7.4,<2.0.0
cryptography>=42.0.4,<43.0.0

# HTTP requests
requests>=2.32.0,<3.0.0

# Docker
docker

flask_jwt_extended
