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pyproject.toml
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58 lines (51 loc) · 1.76 KB
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[tool.setuptools.packages.find]
where = ["."]
include = ["hankel", "hankel.*"]
exclude = ["unittests*"]
[build-system]
requires = ["setuptools>=59.6.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "hankel"
version = "0.1.0"
requires-python = ">=3.10"
dependencies = ["click>=8.2.1",
"deal>=4.24.5",
"graphviz>=0.21",
"more-itertools>=10.7.0",
"pydantic>=2.11.7",
"scikit-learn>=1.7.1",
"setuptools>=80.9.0",
"wheel>=0.45.1"]
license = { file = "LICENSE" }
authors = [{ name = "Jose Llarena", email = "jose.llarena@gmail.com" }]
maintainers = [{ name = "Jose Llarena", email = "jose.llarena@gmail.com" }]
description = "CLI application for the spectral learning of WFSAs"
readme = "README.md"
keywords = ["spectral learning", "wfsa", "machine learning"]
classifiers = [
"Development Status :: 3 - Alpha",
"Environment :: Other Environment",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
]
[project.urls]
repository = "https://github.com/JoseLlarena/hankel"
[project.optional-dependencies]
dev = ["pytest>=8.4.1", "pytest-cov>=6.2.1", "hypothesis>=6.136.6" ]
[project.scripts]
hankel-learn = "hankel.cli:learn"
hankel-predict = "hankel.cli:predict"
hankel-show = "hankel.cli:show"
[tool.ruff]
line-length = 120
[tool.ruff.format]
quote-style = "single"
skip-magic-trailing-comma = true