pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"


[project]
name = "vae_anomaly_detection"
version = "2.0.1"
requires-python = ">3.6,<3.12"
description = "Pytorch/TF1 implementation of Variational AutoEncoder for anomaly detection following the paper \"Variational Autoencoder based Anomaly Detection using Reconstruction Probability by Jinwon An, Sungzoon Cho\""
authors = [{name="Michele De Vita", email="mik3dev@gmail.com"}]

classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python",
    "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",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development :: Libraries :: Python Modules"
    ]
keywords = ["vae", "anomaly detection", "deep learning", "pytorch"]
license = {text = "MIT"}
readme = "readme.md"

dependencies = [
"path>=15.0",
"torch>=1.8",
"pytorch-lightning>=1.9",
"PyYAML>=5.0",
"tqdm>=4.0",
"tensorboard>=0.20",
"numpy>= 1.18",
]

[project.urls]
homepage = "https://github.com/Michedev/VAE_anomaly_detection"
repository = "https://github.com/Michedev/VAE_anomaly_detection"

[project.optional-dependencies]
dev = [
    "pytest",
]

[tool.hatch.envs.default]
python = "3.10"
dependencies = [
    "torch>=1.8",
    "pytorch-lightning",
    "path",
    "tensorboard",
    "numpy",
    "torchvision",
]

[tool.hatch.envs.default.scripts]
train = "python train.py -i 100 -l 32 {args:train}"


[tool.hatch.envs.cpu]
python = "3.10"
dependencies = [
    "torch>=1.8",
    "pytorch-lightning",
    "path",
    "tensorboard",
    "numpy",
    "torchvision",
]

[tool.hatch.envs.cpu.env-vars]
PIP_EXTRA_INDEX_URL = "https://download.pytorch.org/whl/cpu"


[tool.hatch.envs.test]
python = "python3"
dependencies = [
    "torch>=1.8",
    "pytorch-lightning",
    "path",
    "tensorboard",
    "numpy",
    "torchvision",
    "pytest",
]

[tool.hatch.envs.test.overrides]
matrix.foo.set-python = ["3.6", "3.7", "3.8", "3.9", "3.10", "3.11"]


[tool.hatch.envs.test.env-vars]
PIP_EXTRA_INDEX_URL = "https://download.pytorch.org/whl/cpu"


[tool.hatch.build]
include = ["vae_anomaly_detection"]