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pyproject.toml
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[project]
name = "rho_diffusion"
version = "0.2.2"
description = "Parameterizing n-dimensional density fields using denoising diffusion probabilistic models"
readme = "README.md"
requires-python = ">=3.9"
license = {file = "LICENSE.txt"}
keywords = ["pytorch", "generative ai", "deep learning", "posterior", "density estimation"]
authors = [
{name = "Maxwell Cai", email = "maxwell.cai@intel.com" },
{name = "Kin Long Kelvin Lee", email = "kin.long.kelvin.lee@intel.com"}
]
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see https://pypi.org/classifiers/
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Environment :: GPU",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Astronomy",
"Topic :: Scientific/Engineering :: Physics",
# Pick your license as you wish
"License :: OSI Approved :: MIT License",
# Specify the Python versions you support here. In particular, ensure
# that you indicate you support Python 3. These classifiers are *not*
# checked by "pip install". See instead "python_requires" below.
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3 :: Only",
]
dependencies = [
"tqdm",
"matplotlib",
"lightning==2.3.3",
"pydantic==1.10.17",
"websockets",
"einops==0.8.0",
"torchmetrics[image]",
"geomloss==0.2.6",
"h5py"
]
[project.optional-dependencies] # Optional
dev = [
"black==24.4.2",
"flake8",
"flake8-pyproject",
"flake8-black",
"pre-commit==3.7.1",
"hypothesis==6.105.1",
"pytest>=7.4.0",
]
test = ["coverage"]
compute = [
"numpy",
"scipy",
"torch"
]
[tool.black]
line-length = 88
target-versions = ["py39", "py310"]
include = '\.pyi?$'
[tool.flake8]
ignore = ["S101", "D100", "D205", "D400"]
max-line-length = 88
[build-system]
requires = ["setuptools>=63.0.0", "wheel"]
build-backend = "setuptools.build_meta"