HyperMix/pyproject.toml at main · JVLegend/HyperMix · GitHub

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[build-system]
requires = ["setuptools>=77.0.3"]
build-backend = "setuptools.build_meta"

[project]
name = "hypermix"
version = "0.5.0"
description = "Open detection of engineered biosignatures in remote hyperspectral imagery"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
license-files = ["LICENSE"]
authors = [{ name = "João Victor" }]
keywords = ["hyperspectral", "remote sensing", "biosensing", "target detection", "unmixing"]
dependencies = ["numpy>=1.24", "scipy>=1.10"]
classifiers = [
  "Development Status :: 4 - Beta",
  "Intended Audience :: Science/Research",
  "Operating System :: OS Independent",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Programming Language :: Python :: 3.13",
  "Programming Language :: Python :: 3.14",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
  "Topic :: Scientific/Engineering :: Image Processing",
]

[project.optional-dependencies]
viz = ["matplotlib>=3.6"]
hsi = ["spectral>=0.23"]
train = ["torch>=2.0"]   # Milestone 2 detector; use Python 3.11/3.12 (torch has no 3.14 wheels yet)
reproduce = ["scikit-learn>=1.4"]
dev = ["pytest>=7", "matplotlib>=3.6", "spectral>=0.23"]

[project.urls]
Homepage = "https://experiment.com/projects/cldzyecslnphmynjenmv"
Repository = "https://github.com/JVLegend/HyperMix"
Issues = "https://github.com/JVLegend/HyperMix/issues"
Observatory = "https://hypermix-observatory.vercel.app"

[tool.setuptools]
packages = ["hypermix", "hypermix.data"]

[tool.setuptools.package-data]
"hypermix.data" = ["*.csv", "*.json", "*.md"]