NanoImage/pyproject.toml at main · lorenzomagnino/NanoImage · GitHub

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[project]
name = "nanoimage"
version = "0.1.0"
description = "Adversarial examples (FGSM) on MNIST using pure NumPy — no PyTorch, no TensorFlow"
readme = "README.md"
requires-python = ">=3.10"
keywords = ["adversarial-examples", "FGSM", "MNIST", "neural-network", "numpy"]
classifiers = [
    "Programming Language :: Python :: 3",
    "License :: OSI Approved :: MIT License",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "numpy>=1.24",
    "hydra-core>=1.3",
    "rich>=13",
]

[project.optional-dependencies]
dev = [
    "ruff>=0.1.0",
    "black>=23.0.0",
    "mypy>=1.0.0",
    "pytest>=7.0.0",
    "pre-commit>=3.0.0",
]

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

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W"]
ignore = ["N803", "N806"]  # ML convention: uppercase X for data matrices

[tool.black]
line-length = 100
target-version = ["py310"]

[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
ignore_missing_imports = true