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pyproject.toml
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[build-system]
requires = ["poetry-core>=1.0.0", "cython", "numpy", "setuptools", "wheel", "setuptools-rust"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "river"
version = "0.20.1"
description = "Online machine learning in Python"
readme = "README.md"
homepage = "https://riverml.xyz/"
repository = "https://github.com/online-ml/river/"
authors = ["Max Halford <maxhalford25@gmail.com>"]
[tool.poetry.build]
generate-setup-file = true
script = "build.py"
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
scipy = "^1.8.1"
pandas = "^2.1"
[tool.poetry.group.dev.dependencies]
black = "^23.10.0"
graphviz = "^0.20.1"
gym = "^0.26.2"
matplotlib = "^3.0.2"
mypy = "^1.6.1"
pre-commit = "^3.5.0"
pytest = "^7.4.2"
ruff = "^0.1.1"
scikit-learn = "^1.3.1"
sqlalchemy = "^2.0.22"
sympy = "^1.10.1"
pytest-xdist = {extras = ["psutil"], version = "^3.3.1"}
ipykernel = "^6.26.0"
ipython = "^8.17.2"
rich = "^13.6.0"
jupyter = "^1.0.0"
mike = "^2.0.0"
[tool.poetry.group.compat]
optional = true
[tool.poetry.group.compat.dependencies]
scikit-learn = "^1.0.1"
sqlalchemy = "^2.0.0"
[tool.poetry.group.docs]
optional = true
[tool.poetry.group.docs.dependencies]
"dominate" = "*"
"flask" = "*"
"ipykernel" = "*"
"jupyter-client" = "*"
"mike" = "*"
"mkdocs" = "*"
"mkdocs-awesome-pages-plugin" = "*"
"mkdocs-charts-plugin" = "*"
"mkdocs-material" = "*"
"nbconvert" = "*"
"numpydoc" = "*"
"python-slugify" = "*"
"spacy" = "*"
"tabulate" = "*"
"watermark" = "*"
[tool.poetry.group.benchmark]
optional = true
[tool.poetry.group.benchmark.dependencies]
"dominate" = "2.8.0"
"scikit-learn" = "1.3.1"
"scipy" = "1.11.3"
"tabulate" = "0.9.0"
"vowpalwabbit" = "9.9.0"
"watermark" = "2.4.3"
[tool.pytest.ini_options]
addopts = [
"--doctest-modules",
"--doctest-glob=README.md",
"--ignore=build.py",
"--ignore=benchmarks",
"--ignore=docs/scripts",
"--verbose",
"-ra",
"-m not datasets and not slow",
"--color=yes",
]
doctest_optionflags = "NORMALIZE_WHITESPACE NUMBER ELLIPSIS"
norecursedirs = [
"build",
"docs",
"node_modules",
".eggs",
"scikit-multiflow",
"site",
"benchmarks",
]
markers = [
"datasets: tests that pertain to the datasets module",
"slow: tests that take a long time to run",
]
[tool.black]
line-length = 100
target-version = ['py310']
[tool.ruff]
select = ["E", "F", "I", "UP"] # https://beta.ruff.rs/docs/rules/
line-length = 100
target-version = 'py310'
ignore = ["E501"]
[tool.ruff.isort]
required-imports = ["from __future__ import annotations"]
[tool.mypy]
files = "river"
[[tool.mypy.overrides]]
module = [
"river.*",
"mmh3.*",
"numpy.*",
"sklearn.*",
"pytest.*",
"pandas.*",
"scipy.*",
"graphviz.*",
"vaex.*",
"torch.*",
"sqlalchemy.*",
"requests.*"
]
ignore_missing_imports = true