mirror of
https://github.com/microsoft/qlib.git
synced 2026-06-06 05:51:17 +08:00
3097dcc995
* fix(security): enforce RestrictedUnpickler for load_instance to prevent unsafe pickle deserialization * fix: lint error
126 lines
3.3 KiB
TOML
126 lines
3.3 KiB
TOML
[build-system]
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requires = ["setuptools", "setuptools-scm", "cython", "numpy>=1.24.0"]
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build-backend = "setuptools.build_meta"
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[project]
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classifiers = [
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"Operating System :: POSIX :: Linux",
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"Operating System :: Microsoft :: Windows",
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"Operating System :: MacOS",
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"License :: OSI Approved :: MIT License",
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"Development Status :: 3 - Alpha",
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"Programming Language :: Python",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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]
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name = "pyqlib"
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dynamic = ["version"]
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description = "A Quantitative-research Platform"
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requires-python = ">=3.8.0"
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readme = {file = "README.md", content-type = "text/markdown"}
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license = { text = "MIT" }
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dependencies = [
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"pyyaml",
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"numpy",
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# Since version 1.1.0, pandas supports the ffill and bfill methods.
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# Since version 2.1.0, pandas has deprecated the method parameter of the fillna method.
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# qlib has updated the fillna method in PR 1987 and limited the minimum version of pandas.
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"pandas>=1.1",
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# I encoutered an Error that the set_uri does not work when downloading artifacts in mlflow 3.1.1;
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# But earlier versions of mlflow does not have this problem.
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# But when I switch to 2.*.* version, another error occurs, which is even more strange...
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"mlflow",
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"filelock>=3.16.0",
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"redis",
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"dill",
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"fire",
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"ruamel.yaml>=0.17.38",
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"python-redis-lock",
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"tqdm",
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"pymongo",
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"loguru",
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"lightgbm",
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"gym",
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"cvxpy",
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"joblib",
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"matplotlib",
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"jupyter",
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"nbconvert",
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"pyarrow",
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"pydantic-settings",
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"setuptools-scm",
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]
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[project.optional-dependencies]
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dev = [
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"pytest",
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"statsmodels",
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]
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# On macos-13 system, when using python version greater than or equal to 3.10,
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# pytorch can't fully support Numpy version above 2.0, so, when you want to install torch,
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# it will limit the version of Numpy less than 2.0.
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rl = [
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"tianshou<=0.4.10",
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"torch",
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"numpy<2.0.0",
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]
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lint = [
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"black",
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"pylint",
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"mypy<1.5.0",
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"flake8",
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"nbqa",
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]
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# snowballstemmer, a dependency of sphinx, was released on 2025-05-08 with version 3.0.0,
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# which causes errors in the build process. So we've limited the version for now.
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docs = [
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# After upgrading scipy to version 1.16.0,
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# we encountered ImportError: cannot import name '_lazywhere', in the build documentation,
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# so we restricted the version of scipy to: 1.15.3
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"scipy<=1.15.3",
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"sphinx",
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"sphinx_rtd_theme",
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"readthedocs_sphinx_ext",
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"snowballstemmer<3.0",
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]
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package = [
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"twine",
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"build",
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]
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# test_pit dependency packages
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test = [
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"yahooquery",
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"baostock",
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]
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analysis = [
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"plotly",
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"statsmodels",
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]
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client = [
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"python-socketio<6",
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"tables",
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]
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# In the process of releasing a new version, when checking the manylinux package with twine, an error is reported:
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# InvalidDistribution: Invalid distribution metadata: unrecognized or malformed field 'license-file'
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# To solve this problem, we added license-files here. Refs: https://github.com/pypa/twine/issues/1216
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[tool.setuptools]
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packages = [
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"qlib",
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]
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license-files = []
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[project.scripts]
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qrun = "qlib.cli.run:run"
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[tool.setuptools_scm]
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local_scheme = "no-local-version"
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version_scheme = "guess-next-dev"
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write_to = "qlib/_version.py"
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