# =============================================================================
# EasyTranslate — Dependency Specification
# =============================================================================
# This file specifies all dependencies with compatible version ranges.
# For exact reproducible environments, see requirements-lock.txt (pip freeze).
# For Google Colab, see requirements-colab.txt (subset of packages).
# =============================================================================

# Core ML Framework
torch>=2.1.0,<2.11.0
torchvision>=0.16.0; platform_system != "Darwin" or platform_machine != "arm64"

# HuggingFace Ecosystem
transformers>=4.36.0,<4.45.0
datasets>=2.16.0,<3.0.0
tokenizers>=0.15.0,<0.20.0
sentencepiece>=0.2.0,<0.3.0
accelerate>=0.25.0,<0.35.0

# Parameter-Efficient Fine-Tuning
peft>=0.7.0,<0.12.0

# Distributed Training (optional, GPU only)
deepspeed>=0.12.0,<0.15.0; platform_system == "Linux"
bitsandbytes>=0.41.0,<0.44.0; platform_system == "Linux"

# Experiment Tracking
wandb>=0.16.0,<0.18.0
tensorboard>=2.15.0,<2.17.0

# Evaluation Metrics
sacrebleu>=2.4.0,<3.0.0
unbabel-comet>=2.2.0,<2.3.0
rouge-score>=0.1.2
nltk>=3.8.0,<3.9.0

# Configuration & CLI
omegaconf>=2.3.0,<3.0.0
pyyaml>=6.0.0,<7.0.0
rich>=13.0.0,<14.0.0

# Data Processing
numpy>=1.24.0,<3.0.0
pandas>=2.0.0,<2.3.0
protobuf>=5.28.3,<7.0.0
tqdm>=4.66.0,<5.0.0

# Visualization
matplotlib>=3.8.0,<4.0.0
seaborn>=0.13.0,<0.14.0

# Serving (optional)
fastapi>=0.108.0,<0.115.0
uvicorn>=0.25.0,<0.31.0
gradio>=4.10.0,<5.0.0

# Development & Testing
pytest>=7.4.0,<9.0.0
pytest-cov>=4.1.0
black>=23.0.0,<25.0.0
isort>=5.12.0,<6.0.0
flake8>=6.0.0,<8.0.0