mini-AGI/pyproject.toml at main · gt50/mini-AGI

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[project]

name = "mini-agi"

version = "0.1.0"

description = "A continual-learning byte-level model that pages its experts from disk"

readme = "README.md"

requires-python = ">=3.10"

license = { file = "LICENSE" }

# torch is deliberately NOT listed: the right wheel depends on the GPU -

# CUDA from pytorch.org, ROCm for AMD (gfx1151 / Strix Halo from AMD's own

# index). Installing it from PyPI here would silently replace a ROCm build

# with a CUDA one. See "Running it" in the README.

dependencies = [

"numpy>=1.24",

"pyyaml>=6.0",

"matplotlib>=3.7",

]

[project.optional-dependencies]

serve = ["flask>=2.3"]

corpora = ["chess>=1.10", "zstandard>=0.21", "datasets>=2.18", "tokenizers>=0.15"]

dev = ["pytest>=7.4"]

[tool.setuptools]

packages = ["minagi", "corpora"]

[tool.pytest.ini_options]

testpaths = ["tests"]