pyproject.toml

# SPDX-License-Identifier: Apache-2.0
#
# PEP 517 packaging for the vecflow-chamfer Python wrapper. Drives the CMake
# build via scikit-build-core: `pip install .` produces a wheel containing
# the pybind11 module compiled against the conda-installed libvecflow-chamfer
# (which in turn pulls libcuvs-vecflow). Mirrors vecflow/pyproject.toml.

[build-system]
requires = [
    "scikit-build-core[pyproject]>=0.10",
    "pybind11>=2.11",
]
build-backend = "scikit_build_core.build"

[project]
name = "vecflow-chamfer"
description = "vecflow-chamfer: multi-vector retrieval on GPUs with a memory hierarchy"
readme = "README.md"
requires-python = ">=3.11"
license = { text = "Apache-2.0" }
authors = [
    { name = "SSAIL lab, University of Illinois at Urbana-Champaign" },
]
dynamic = ["version"]
dependencies = [
    "numpy>=1.19",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
    "Programming Language :: Python :: 3.14",
    "Programming Language :: C++",
    "Operating System :: POSIX :: Linux",
    "Topic :: Scientific/Engineering",
]

[project.urls]
Homepage   = "https://github.com/Supercomputing-System-AI-Lab/VecFlow"
Repository = "https://github.com/Supercomputing-System-AI-Lab/VecFlow"

# ── scikit-build-core driver ──────────────────────────────────────────────
# Hands off to the top-level CMakeLists.txt, which does
# pybind11_add_module(_vecflow_chamfer ...) and find_package(vecflow_chamfer).
[tool.scikit-build]
cmake.version  = ">=3.30"
ninja.version  = ">=1.10"
build-dir      = "build/{wheel_tag}"
wheel.packages = ["vecflow_chamfer"]

# Single-file source of truth: vecflow/VERSION (shared with the vecflow
# package; both move together on the same release tag).
[tool.scikit-build.metadata.version]
provider = "scikit_build_core.metadata.regex"
input    = "../vecflow/VERSION"
regex    = '^(?P<value>\d+\.\d+\.\d+)$'

# find_package(vecflow_chamfer) resolves against the conda env's
# $CONDA_PREFIX/lib/cmake/vecflow_chamfer/ when libvecflow-chamfer-cuXX is
# installed in the host env (conda recipe path). For a local source build
# pass -Dvecflow_chamfer_ROOT=vecflow-chamfer/cpp/build to hit the BUILD
# export rapids_export writes there.
[tool.scikit-build.cmake.define]
CMAKE_VERBOSE_MAKEFILE = "ON"