[project]
name = "autojev"
version = "0.2.0"
description = "One-pass decisions with full-weight supervised training"
readme = "README.md"
requires-python = ">=3.12"
dependencies = [
  "torch==2.14.0",
  "torchvision==0.29.0",
  "transformers==5.17.0",
  "accelerate==1.15.0",
  "pillow==12.3.0",
  "fastapi==0.141.1",
  "uvicorn==0.52.4",
  "httpx==0.28.1",
  "python-dotenv==1.2.3",
  "datasets==5.0.1",
  "matplotlib==3.11.2",
  "kernels==0.16.1",
  "flash-linear-attention==0.5.2",
  "safetensors==0.8.0",
  "numpy==2.5.3",
  "huggingface-hub==1.31.0",
  "imageio-ffmpeg>=0.6",
]

[project.scripts]
autojev-data = "autojev.data:main"
autojev-train = "autojev.train:main"
autojev-evaluate = "autojev.evaluate:main"
autojev-serve = "autojev.server:main"
autojev-report = "autojev.report:main"

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[dependency-groups]
dev = ["mypy>=2.3.1"]

[tool.mypy]
files = ["src/autojev"]
python_version = "3.12"
strict = true
cache_dir = ".cache/mypy"
untyped_calls_exclude = ["transformers", "datasets", "torch._tensor.Tensor.backward"]

[[tool.mypy.overrides]]
module = ["datasets.*"]
ignore_missing_imports = true