# Python 3.10 compatible versions

# Core ML and Data Science Libraries
tensorflow>=2.17.0,<2.18.0
keras>=3.2.0
numpy>=1.24.0,<1.26.0
pandas>=2.0.0,<2.2.0
scikit-learn>=1.3.0,<1.6.0

# 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
charset-normalizer>=3.4.2
urllib3>=2.5.0

# Development and Jupyter Support (if needed)
jupyter>=1.0.0
ipython>=8.0.0

# Additional TensorFlow dependencies
h5py>=3.8.0
protobuf>=4.21.0,<5.0.0
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>=1.48.0,<2.0.0
tensorboard>=2.17.0,<2.18.0
ml-dtypes>=0.4.0

# 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==0.104.1
uvicorn[standard]==0.24.0
Flask==2.3.3
Flask-CORS==4.0.0

# Database drivers
motor==3.3.2
pymongo==4.6.0

# Blockchain & Web3
web3==6.15.1
eth-account==0.10.0

# IPFS client (optional)
ipfshttpclient==0.8.0a2

# Environment & configuration
python-dotenv==1.0.0

# Data validation
pydantic==2.5.3

# Authentication & security
python-jose==3.3.0
PyJWT==2.8.0
passlib[bcrypt]==1.7.4
cryptography==41.0.7

# HTTP requests
requests==2.31.0

# Docker
docker

flask_jwt_extended