barkley-reference-architecture/pyproject.toml at main · labs-barkley/barkley-reference-architecture · GitHub

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[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"

[project]
name = "barkley-reference-architecture"
version = "0.2.0"
description = "A source-available research demonstrator for individual-referenced behavioral intelligence in dogs."
readme = "README.md"
requires-python = ">=3.10"
authors = [{ name = "Elodie Aishwarya P. Remoissenet", email = "labs@getbarkley.com" }]
keywords = [
    "behavioral-ai",
    "longitudinal-modeling",
    "synthetic-data",
    "knowledge-graph",
    "time-series",
    "canine-cognition",
    "research-demonstrator",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "License :: Other/Proprietary License",
    "Topic :: Scientific/Engineering",
    "Operating System :: OS Independent",
]
dependencies = [
    "numpy>=1.24",
    "pandas>=2.0",
]

[project.optional-dependencies]
dev = ["pytest>=7.0", "mypy>=1.0"]

[project.license]
file = "LICENSE"

[project.urls]
Homepage   = "https://github.com/labs-barkley/barkley-reference-architecture"
Repository = "https://github.com/labs-barkley/barkley-reference-architecture"
Lab        = "https://github.com/labs-barkley/barkley-canine-cognition-lab"

[tool.setuptools.packages.find]
include = ["barkley*"]

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

# ---------------------------------------------------------------------------
# Type-checking configuration (lightweight — not strict)
# ---------------------------------------------------------------------------
# numpy/pandas ship partial or third-party stubs; we do not require them here.
# This config type-checks the library surface without forcing a heavy refactor.
[tool.mypy]
python_version = "3.10"
ignore_missing_imports = true
warn_unused_ignores = false
warn_return_any = false
no_implicit_optional = true
check_untyped_defs = false