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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=75.0"]
build-backend = "setuptools.build_meta"
[project]
name = "endata"
version = "0.1.0"
description = "A library for generative modeling and evaluation of synthetic household-level electricity load timeseries."
readme = "README.md"
requires-python = ">=3.7"
license = { text = "MIT" }
authors = [
{ name = "Michael Fuest", email = "[email protected]" }
]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
keywords = ["generative", "energy", "diffusion", "deep learning", "GAN"]
dependencies = [
"numpy",
"pandas",
"matplotlib",
"scikit-learn",
"tiktoken",
"transformers",
"torch",
"accelerate",
"torchvision",
"tensorboard",
"pyyaml",
"mkl",
"dtaidistance",
"seaborn",
"einops",
"sentencepiece",
"omegaconf",
"hydra-core",
"wandb"
]
[project.optional-dependencies]
dev = [
"pre-commit",
"mypy",
"black",
"isort",
"autoflake",
]
testing = [
"pytest>=6.0",
"pytest-cov",
]
docs = [
"sphinx",
"furo",
]
[tool.setuptools]
packages = ["endata"]
include-package-data = true
[tool.setuptools.package-data]
"endata" = ["data/*.dat"]