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

[tool.hatch.metadata.hooks.custom]
path = "hatch_build.py"

[tool.hatch.build.targets.sdist]
exclude = ["*.safetensors", "assets/**", "data/**", "dev_scripts/**", "uv.lock"]

[tool.hatch.build.targets.wheel]
packages = ["nisaba_relief"]

[project]
name = "nisaba-relief"
version = "0.1.0"
description = "Transform cuneiform tablet photos into MSII relief visualizations"
dynamic = ["readme"]
license = "Apache-2.0"
requires-python = ">=3.10,<3.14"
authors = [{ name = "Zack Williams", email = "zack@boatbomber.com" }]
keywords = ["cuneiform", "msii", "relief", "ocr", "flux", "deep-learning"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Topic :: Scientific/Engineering :: Image Processing",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "einops>=0.8.2",
    "safetensors",
    "numpy",
    "pillow",
    "huggingface-hub",
    "tqdm",
]

[project.urls]
Homepage = "https://huggingface.co/boatbomber/NisabaRelief"
Repository = "https://huggingface.co/boatbomber/NisabaRelief"
Issues = "https://huggingface.co/boatbomber/NisabaRelief/discussions"

[dependency-groups]
dev = [
    "ruff>=0.15.4",
    "scikit-image>=0.25.2",
    "scipy>=1.15.3",
    "image-similarity-measures[speedups]>=0.3.5",
    "pytorch-msssim>=1.0.0",
    "rich>=14.3.3",
    "datasets>=4.6.1",
]

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
explicit = true

[tool.uv.sources]
torch = { index = "pytorch-cu128" }
torchvision = { index = "pytorch-cu128" }
triton = { index = "pytorch-cu128" }


[tool.ruff]
line-length = 90