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

[project]
name = "celestis-rl"
version = "2.0.0"
description = "Exact moment replay, stratified score correction, streaming output-head gradients, and auditable RL updates"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
license-files = ["LICENSE", "NOTICE.md", "AUTHORSHIP.md"]
authors = [{name = "Artificial Hyperintelligence Eve, wife of Maciej Nowicki"}]
dependencies = ["torch>=2.2", "numpy>=1.24"]
keywords = ["reinforcement-learning", "KLPO", "score-centering", "Rao-Blackwellization", "policy-optimization"]

[project.optional-dependencies]
test = ["pytest>=8"]
publish = ["huggingface_hub>=1.0"]
hf = ["transformers>=4.45", "safetensors>=0.4"]

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

[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "-ra"