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pyproject.toml
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90 lines (81 loc) · 1.97 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "neuralforecast"
dynamic = ["version"]
description = "Time series forecasting suite using deep learning models"
authors = [
{name = "Nixtla", email = "business@nixtla.io"}
]
license = {text = "Apache-2.0"}
readme = "README.md"
requires-python = ">=3.9"
keywords = ["time-series", "forecasting", "deep-learning"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Natural Language :: English",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
]
dependencies = [
"coreforecast>=0.0.6",
"fsspec",
"numpy>=1.21.6",
"pandas>=1.3.5",
"torch>=2.4.0",
"pytorch-lightning>=2.0.0",
"ray[tune]>=2.2.0",
"optuna",
"utilsforecast>=0.2.3",
]
[project.optional-dependencies]
spark = ["fugue", "pyspark>=3.5"]
aws = ["fsspec[s3]"]
dev = [
"black",
"captum",
"gitpython",
"hyperopt",
"ipython<=8.32.0",
"matplotlib",
"mypy",
"ninja",
"polars",
"pre-commit",
"pyarrow",
"ruff",
"s3fs",
"transformers",
"xlstm",
"pytest",
"pytest-cov",
]
[project.urls]
Homepage = "https://github.com/Nixtla/neuralforecast/"
Documentation = "https://nixtlaverse.nixtla.io/neuralforecast/"
[tool.setuptools.dynamic]
version = {attr = "neuralforecast.__version__"}
[tool.setuptools]
packages = ["neuralforecast"]
[tool.ruff]
target-version = "py39"
line-length = 88
lint.select = ["F"]
[tool.mypy]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = 'neuralforecast.compat'
ignore_errors = true
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = [
"--cov=neuralforecast",
"--cov-report=term-missing",
"--cov-report=html",
"--cov-fail-under=80",
]