HAT/pyproject.toml at master · Lumi-node/HAT · GitHub

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[build-system]
requires = ["maturin>=1.4,<2.0"]
build-backend = "maturin"

[project]
name = "arms-hat"
version = "0.1.0"
description = "Hierarchical Attention Tree: 100% recall at 70x faster build times than HNSW. A new database paradigm for AI memory and hierarchical semantic search."
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.8"
authors = [
    { name = "Automate Capture LLC", email = "research@automate-capture.com" }
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Rust",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["ai", "memory", "embeddings", "vector-search", "llm"]

[project.urls]
Homepage = "https://research.automate-capture.com/hat"
Repository = "https://github.com/automate-capture/hat"
Documentation = "https://research.automate-capture.com/hat"

[project.optional-dependencies]
dev = ["pytest", "numpy"]

[tool.maturin]
features = ["python"]
python-source = "python"
module-name = "arms_hat"

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