[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "rtc-pi05"
version = "0.1.0"
description = "Real-Time Chunking (RTC) inference for openpi pi0.5 flow policies (arXiv:2506.07339)"
readme = "README.md"
requires-python = ">=3.11"
license = { text = "MIT" }
authors = [{ name = "Daniel Feng" }]
keywords = ["robotics", "flow-matching", "pi0", "pi05", "real-time-chunking", "openpi"]

# Core (rtc.controller + rtc.masking) needs only numpy. The torch sampler and the
# openpi adapter are pulled in lazily; install the extras for those paths.
dependencies = [
    "numpy>=1.24",
]

[project.optional-dependencies]
# rtc.sampler + rtc.pi0 (the guided-inpainting loop runs under torch.autograd).
torch = ["torch>=2.4"]
# rtc.pi0 also needs a working openpi install providing PI0Pytorch. openpi is not
# on PyPI: install it from source (https://github.com/Physical-Intelligence/openpi)
# into the same environment. Listed here for documentation, not resolved by pip.
# openpi = ["openpi"]
dev = ["pytest>=7"]

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

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