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Publish six-claim native-scale FFOLayer reproduction
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "ffolayer"
dynamic = ['version']
description = "A fully first-order (FFO) layer for differentiable convex optimization"
readme = "README.md"
requires-python = ">=3.9"
license = {text = "MIT"}
authors = [{name = "Zihao Zhao"},
{name = "Kai-Chia Mo"},
{name = "Shing-Hei Ho"},
{name = "Brandon Amos"},
{name = "Kai Wang"},
]
dependencies = [
"numpy",
"scipy",
"torch",
"cvxpy",
"diffcp",
"threadpoolctl",
]
keywords = ["first-order", "convex optimization", "differentiable optimization"]
[project.optional-dependencies]
[project.urls]
Homepage = "https://github.com/GT-KOALA/FFOLayer"
Repository = "https://github.com/GT-KOALA/FFOLayer.git"
Documentation = "https://github.com/GT-KOALA/FFOLayer"
[tool.hatch.metadata]
allow-direct-references = true
[tool.hatch.build.targets.wheel]
packages = ["src/ffolayer"]
[tool.hatch.build.targets.sdist]
include = ["/src", "/tests", "/README.md", "/LICENSE"]
[tool.pytest.ini_options]
testpaths = ["tests"]
[tool.hatch.version]
path = "src/ffolayer/__init__.py"