flowprint/pyproject.toml at main · furmanlukasz/flowprint · GitHub

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

[project]
name = "flowprint"
version = "0.1.0"
description = "Flow-based fingerprints of dynamical regimes on shared manifolds"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.9"
authors = [
    {name = "Lukasz Furman", email = "lukasz.furman@example.com"},
]
keywords = [
    "dynamical systems",
    "time series",
    "flow fields",
    "latent trajectories",
    "regime detection",
    "oscillators",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering",
]
dependencies = [
    "numpy>=1.21",
    "scipy>=1.7",
    "matplotlib>=3.5",
    "scikit-learn>=1.0",
    "umap-learn>=0.5.6",
    "numba>=0.57",
    "torch>=2.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "pytest-cov>=4.0",
    "ruff>=0.1",
    "black>=23.0",
]

[project.urls]
Homepage = "https://github.com/username/flowprint"
Documentation = "https://github.com/username/flowprint#readme"
Repository = "https://github.com/username/flowprint"

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

[dependency-groups]
dev = [
    "pytest>=7.0",
    "pytest-cov>=4.0",
    "ruff>=0.1",
    "black>=23.0",
]

[tool.ruff]
line-length = 100
target-version = "py39"

[tool.ruff.lint]
select = ["E", "F", "W", "I", "UP"]
ignore = ["E501"]

[tool.black]
line-length = 100
target-version = ["py39"]

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-v"

# UV configuration for CPU-only PyTorch (much faster install in CI/Codespaces)
[[tool.uv.index]]
name = "pytorch-cpu"
url = "https://download.pytorch.org/whl/cpu"
explicit = true

[tool.uv.sources]
torch = [{ index = "pytorch-cpu" }]