pyproject.toml

[tool.poetry]
name = "pylambertw"
version = "0.0.4"
description = "Python implementation of the Lambert W x F framework for analyzing skewed, heavy-tailed distribution with an sklearn interface and torch based maximum likelihood estimation (MLE)."
authors = ["Georg M. Goerg <im@gmge.org>"]
homepage = "https://github.com/gmgeorg/pylambertw.git"

[tool.poetry.dependencies]
python = "^3.9"

dataclasses = ">=0.6"
matplotlib = ">=3.3.0"
numpy = ">=1.0.1"
pandas = ">=1.0.0"
scikit-learn = ">=1.0.1"
scipy = ">=1.7.0"
seaborn = ">=0.11.1"
statsmodels = ">=0.12.0"
torch = ">=2.0.1"
torchlambertw = { git = "https://github.com/gmgeorg/torchlambertw.git", rev = "v0.0.3" }
tqdm = ">=4.62.3"

[tool.poetry.group.dev.dependencies]
flake8 = "^7.0.0"
pre-commit = "^3.7.0"
pytest = ">=6.1.1"
ruff = "^0.3.7"

[tool.ruff]
line-length = 100

fix = true

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"