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pyproject.toml
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83 lines (76 loc) · 2.03 KB
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[project]
name = "chronos-forecasting"
dynamic = ["version"]
authors = [
{ name = "Abdul Fatir Ansari", email = "ansarnd@amazon.com" },
{ name = "Lorenzo Stella", email = "stellalo@amazon.com" },
{ name = "Caner Turkmen", email = "atturkm@amazon.com" },
{ name = "Oleksandr Shchur", email = "shchuro@amazon.com" },
{ name = "Jaris Küken", email = "kuekenj@amazon.com" },
{ name = "Andreas Auer", email = "auerand@amazon.com" },
]
description = "Chronos: Pretrained models for time series forecasting"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.10"
dependencies = [
"torch>=2.2,<3",
"transformers>=4.41,<5",
"accelerate>=0.34,<2",
"numpy>=1.21,<3",
"einops>=0.7.0,<1",
"scikit-learn>=1.6.0,<2",
]
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/chronos"]
[tool.hatch.version]
path = "src/chronos/__about__.py"
[project.optional-dependencies]
extras = [
"boto3>=1.10,<2",
"peft>=0.13.0,<0.18",
"fev>=0.6.1",
"pandas[pyarrow]>=2.0,<2.4",
]
test = [
"pytest~=8.0",
"boto3>=1.10,<2",
"peft>=0.13.0,<1",
"fev>=0.6.1",
"pandas[pyarrow]>=2.0,<2.4",
]
typecheck = ["mypy~=1.9"]
dev = [
"gluonts[pro]~=0.16",
"datasets>=3.0,<4",
"typer",
"tensorboard",
"typer-config",
"joblib",
"fev>=0.6.1",
"rich",
"pandas>=2.0,<2.4",
]
[project.urls]
Homepage = "https://github.com/amazon-science/chronos-forecasting"
Issues = "https://github.com/amazon-science/chronos-forecasting/issues"
Chronos-Paper = "https://arxiv.org/abs/2403.07815"
Chronos-2-Paper = "https://arxiv.org/abs/2510.15821"
[tool.mypy]
ignore_missing_imports = true
[tool.ruff]
line-length = 119
lint.ignore = [
"E501", # Line too long
"E731", # Do not assign a `lambda` expression, use a `def`
"E722", # Do not use bare `except`
]