FleetLab/pyproject.toml at main · Revincxt/FleetLab · GitHub

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[build-system]
requires = ["setuptools>=77", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "adaptive-agent-lab"
version = "0.2.0"
description = "FleetLab warehouse fleet simulation, coordinated routing, and reproducible agent experiments."
readme = "README.md"
requires-python = ">=3.11"
license = "MIT"
license-files = ["LICENSE"]
authors = [{ name = "Revincxt" }]
keywords = [
  "automated-planning",
  "reinforcement-learning",
  "dyna-q",
  "dqn",
  "replanning",
  "warehouse-simulation",
]
classifiers = [
  "Development Status :: 3 - Alpha",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Typing :: Typed",
]
dependencies = ["numpy>=1.26"]

[project.optional-dependencies]
dev = [
  "build>=1.2",
  "mypy>=1.11",
  "pytest>=8.3",
  "pytest-cov>=5.0",
  "ruff>=0.7",
]

[project.scripts]
aal = "adaptive_agent_lab.cli:main"

[project.urls]
Homepage = "https://revincxt.github.io/FleetLab/"
Repository = "https://github.com/Revincxt/FleetLab"
Issues = "https://github.com/Revincxt/FleetLab/issues"

[tool.setuptools]
package-dir = { "" = "src" }
include-package-data = true

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.package-data]
adaptive_agent_lab = ["py.typed"]

[tool.pytest.ini_options]
addopts = "-q --strict-markers"
testpaths = ["tests"]

[tool.coverage.run]
branch = true
source = ["adaptive_agent_lab"]

[tool.coverage.report]
show_missing = true
skip_covered = true
fail_under = 80

[tool.ruff]
line-length = 100
target-version = "py311"

[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B", "SIM", "RUF"]

[tool.mypy]
strict = true
packages = ["adaptive_agent_lab"]