pyproject.toml

[project]
name = "chronos-forecasting"
version = "1.4.1"
authors = [
  { name="Abdul Fatir Ansari", email="ansarnd@amazon.com" },
  { name="Lorenzo Stella", email="stellalo@amazon.com" },
  { name="Caner Turkmen", email="atturkm@amazon.com" },
]
description = "Chronos: Pretrained models for time series forecasting"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.9"
dependencies = [
    "torch>=2.0,<2.6",         # package was tested on 2.2
    "transformers>=4.30,<4.48",
    "accelerate>=0.32,<1",
]
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"]

[project.optional-dependencies]
test = ["pytest~=8.0", "numpy~=1.21"]
typecheck = ["mypy~=1.9"]
training = ["gluonts[pro]~=0.15", "numpy~=1.21", "datasets~=2.18", "typer", "typer-config", "joblib", "scikit-learn", "tensorboard"]
evaluation = ["gluonts[pro]~=0.15", "numpy~=1.21", "datasets~=2.18", "typer"]

[project.urls]
Homepage = "https://github.com/amazon-science/chronos-forecasting"
Issues = "https://github.com/amazon-science/chronos-forecasting/issues"
Paper = "https://arxiv.org/abs/2403.07815"

[tool.mypy]
ignore_missing_imports = true