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QuanTAlib/python/pyproject.toml
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[build-system]
requires = ["hatchling>=1.27.0"]
build-backend = "hatchling.build"
[project]
name = "quantalib"
dynamic = ["version"]
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description = "High-performance technical analysis wrappers over QuanTAlib NativeAOT"
readme = "README.md"
license = "Apache-2.0"
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requires-python = ">=3.10"
dependencies = ["numpy>=1.24"]
authors = [
{ name = "QuanTAlib Contributors" },
]
keywords = ["quantitative", "finance", "technical-analysis", "indicators", "nativeaot"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Financial and Insurance Industry",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Office/Business :: Financial :: Investment",
"Topic :: Scientific/Engineering :: Mathematics",
"Typing :: Typed",
]
[project.urls]
Homepage = "https://github.com/mihakralj/quantalib"
Repository = "https://github.com/mihakralj/quantalib"
Documentation = "https://mihakralj.github.io/quantalib/"
Issues = "https://github.com/mihakralj/quantalib/issues"
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[project.optional-dependencies]
pandas = ["pandas>=1.5"]
polars = ["polars>=0.20"]
pyarrow = ["pyarrow>=14.0"]
all = ["pandas>=1.5", "polars>=0.20", "pyarrow>=14.0"]
dev = ["pytest>=8.0", "pandas>=1.5", "polars>=0.20", "pyarrow>=14.0"]
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[tool.pytest.ini_options]
testpaths = ["tests"]
filterwarnings = [
# pandas-ta sets pd.options.mode.copy_on_write=False on import;
# pandas >= 3.0 always enables CoW and emits Pandas4Warning.
# This is a third-party issue — suppress it.
"ignore::pandas.errors.Pandas4Warning",
]
[tool.hatch.version]
source = "regex"
path = "../lib/VERSION"
pattern = "(?P<version>\\d+\\.\\d+\\.\\d+(?:\\.dev\\d+)?)"
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[tool.hatch.build.targets.wheel]
packages = ["quantalib"]