File size: 2,019 Bytes
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requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "diffviews"
version = "0.2.0"
description = "Diffusion model activation visualizer with model-agnostic adapter interface"
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.10"
authors = [
{name = "DMD2 Team"}
]
keywords = ["diffusion", "visualization", "umap", "activations", "deep-learning"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Visualization",
]
dependencies = [
"torch>=2.0.0",
"numpy>=1.21.0",
"pandas>=1.5.0",
"pillow>=9.0.0",
"scikit-learn>=1.0.0",
"umap-learn>=0.5.0",
"numba==0.58.1", # Pin for UMAP pickle compatibility
"tqdm>=4.60.0",
]
[project.optional-dependencies]
viz = [
"gradio>=6.0.0",
"plotly>=5.18.0",
]
lmdb = [
"lmdb>=1.4.0",
]
dev = [
"pytest>=7.0.0",
"pytest-cov>=4.0.0",
"black>=23.0.0",
"ruff>=0.1.0",
]
all = [
"diffviews[viz,lmdb,dev]",
]
[project.urls]
Repository = "https://github.com/your-org/diffviews"
[project.scripts]
diffviews = "diffviews.scripts.cli:main"
[project.entry-points."diffviews.adapters"]
# Adapters register themselves here
# Example: imagenet-64 = "diffviews_dmd2:DMD2ImageNetAdapter"
[tool.setuptools.packages.find]
where = ["."]
include = ["diffviews*"]
[tool.setuptools.package-data]
diffviews = ["py.typed"]
"*" = ["*.json"]
[tool.black]
line-length = 100
target-version = ["py310", "py311", "py312"]
[tool.ruff]
line-length = 100
select = ["E", "F", "W", "I"]
ignore = ["E501"]
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
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