[build-system]

requires = ["setuptools>=61.0"]

build-backend = "setuptools.build_meta"

[project]

name = "sutro-yaro"

version = "0.1.0"

description = "Sutro Group research workspace for energy-efficient AI training"

readme = "README.md"

requires-python = ">=3.9"

license = {text = "MIT"}

authors = [

{name = "Sutro Group"},

]

keywords = ["sparse-parity", "energy-efficient-ml", "gymnasium", "reinforcement-learning"]

dependencies = [

"numpy",

]

[project.optional-dependencies]

# Gymnasium eval environment (SutroYaro/SparseParity-v0, SutroYaro/MultiChallenge-v0).

# `pip install -e .[eval]` gets you everything you need to run

# `gymnasium.make("SutroYaro/SparseParity-v0")` without any manual import.

eval = [

"gymnasium>=0.29",

]

# Modal backend for running the harness off-machine. Optional: only

# needed if you pass ``backend="modal"`` to the environment.

modal = [

"modal>=0.60",

]

# Developer / test tooling.

dev = [

"pytest>=7",

"pytest-xdist",

"ruff",

]

# Convenience "everything" extra for CI and contributors.

all = [

"gymnasium>=0.29",

"modal>=0.60",

"pytest>=7",

"pytest-xdist",

"ruff",

]

[project.urls]

Homepage = "https://github.com/cybertronai/SutroYaro"

Repository = "https://github.com/cybertronai/SutroYaro"

Documentation = "https://cybertronai.github.io/SutroYaro/"

# ---------------------------------------------------------------------------

# Gymnasium entry points

# ---------------------------------------------------------------------------

# Gymnasium discovers environments via the ``gymnasium.envs`` entry-point

# group (see https://gymnasium.farama.org/api/registry/). When gymnasium

# is imported it walks this group and imports every module listed, so the

# ``gymnasium.register()`` calls at module scope fire automatically.

#

# Result: after ``pip install -e .[eval]`` you can do

#

# import gymnasium as gym

# env = gym.make("SutroYaro/SparseParity-v0")

#

# with no prior ``import sparse_parity.eval``.

[project.entry-points."gymnasium.envs"]

SutroYaro = "sparse_parity.eval:register_all"

[tool.setuptools.packages.find]

where = ["src"]

[tool.setuptools.package-data]

"sparse_parity.eval" = ["answer_key.json", "README.md"]