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93 lines (84 loc) · 2.06 KB
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[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "pyframe-xpy"
version = "0.1.2"
description = "High-performance parallel dataframe and array processing with Arrow-backed storage"
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
license-files = ["LICENSE"]
authors = [
{ name = "FrameX Contributors" }
]
keywords = ["dataframe", "array", "analytics", "arrow", "dask", "ray", "numpy", "parallel"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering",
"Topic :: Software Development :: Libraries",
]
dependencies = [
"pyarrow>=14.0",
"numpy>=1.24",
]
[project.optional-dependencies]
pandas_compat = [
"pandas>=2.0",
]
distributed = [
"dask[dataframe,distributed]>=2024.1.0",
"ray[data]>=2.9.0",
]
accel = [
"numexpr>=2.9",
"numba>=0.59",
]
gpu = [
"cupy-cuda12x>=13.0; platform_system!='Windows'",
]
ml_accel = [
"torch>=2.2",
"jax>=0.4.30",
]
pandas_fast = [
"modin[ray]>=0.30",
]
dev = [
"pytest>=7.0",
"pytest-benchmark",
"hypothesis",
]
bench = [
"matplotlib>=3.8",
"psutil>=5.9",
]
release = [
"build>=1.2.2",
"twine>=5.1.1",
]
[project.urls]
Homepage = "https://github.com/aeiwz/FrameX"
Repository = "https://github.com/aeiwz/FrameX"
Issues = "https://github.com/aeiwz/FrameX/issues"
Documentation = "https://github.com/aeiwz/FrameX/tree/main/docs"
[tool.setuptools]
include-package-data = false
[tool.setuptools.packages.find]
include = ["framex", "framex.*"]
exclude = ["tests", "tests.*", "benchmarks", "benchmarks.*"]
[tool.setuptools.package-data]
framex = [
"backends/c_kernels.c",
]
[tool.setuptools.exclude-package-data]
"*" = ["*.so", "*.dylib", "*.pyd", "*.pyc", "__pycache__/*"]
[tool.pytest.ini_options]
testpaths = ["tests"]