PythonPDDL/pyproject.toml at main · APLA-Toolbox/PythonPDDL · GitHub

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

[project]
name = "jupyddl"
version = "2.3.0"
description = "A pure-Python PDDL planning framework: parser, grounding, classical-to-SOTA planners, heuristics and benchmarking."
readme = "README.md"
requires-python = ">=3.9"
license = { text = "Apache-2.0" }
authors = [{ name = "Erwin Lejeune" }]
keywords = ["pddl", "planning", "heuristic-search", "a-star", "lm-cut", "automated-planning"]
classifiers = [
    # Beta rather than Stable on purpose: the planning core has been steady for
    # a while, but `jupyddl.learn` is new and its API will move.
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.9",
    "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",
    "Programming Language :: Python :: Implementation :: CPython",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
# The core framework is intentionally dependency-free (stdlib only) so it is
# trivial to embed and build on top of.
dependencies = []

[project.optional-dependencies]
# 3.6 is the floor for the constrained-layout engine API the charts rely on
# (``layout="constrained"`` plus ``Figure.get_layout_engine``).
viz = ["matplotlib>=3.6"]
# Purely a speed option. jupyddl.learn trains and evaluates on the standard
# library alone; NumPy just makes the batched passes one to two orders of
# magnitude faster, and tests/test_learn.py pins the two paths together.
learn = ["numpy>=1.21"]
dev = ["pytest>=7", "pytest-cov>=4", "flake8>=6", "black>=23"]

[project.scripts]
jupyddl = "jupyddl.cli:main"

[project.urls]
Homepage = "https://github.com/APLA-Toolbox/PythonPDDL"
Repository = "https://github.com/APLA-Toolbox/PythonPDDL"
Changelog = "https://github.com/APLA-Toolbox/PythonPDDL/blob/main/CHANGELOG.md"
Issues = "https://github.com/APLA-Toolbox/PythonPDDL/issues"
Workbench = "https://apla-toolbox.github.io/PythonPDDL/"

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

# An sdist should carry what is needed to build and test the package, not the
# project's marketing. Left to its defaults hatchling packed the promo video
# and every screenshot and chart, making a 6.6 MB sdist against a 105 KB wheel.
# `web/` stays: `tests/test_web_bundle.py` reads it, so dropping it would leave
# an sdist whose own test suite fails.
[tool.hatch.build.targets.sdist]
exclude = [
    ".github/**",
    "docs/images/**",
    "promo/**",
    "logs/**",
]

[tool.pytest.ini_options]
testpaths = ["tests"]