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pyproject.toml
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80 lines (74 loc) · 1.76 KB
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[project]
authors = [
{name = "Wataru Shimoda", email = "wataru_shimoda@cyberagent.co.jp"},
]
requires-python = "<3.13,>=3.10"
dependencies = [
"pillow<11.0.0,>=10.0.0",
"torch",
"numpy>=2.0.0",
"omegaconf<3.0.0,>=2.3.0",
"pydantic>=2.10.6",
"hydra-core<2.0.0,>=1.3.2",
"loguru<1.0.0,>=0.7.2",
"seaborn<1.0.0,>=0.13.2",
"matplotlib>=3.10.1",
"type-r-adjuster",
"type-r-core",
"type-r-dataset",
"type-r-eraser",
"type-r-editor",
"type-r-ocr",
"type-r-t2i",
]
name = "type-r-app"
version = "1.0.0"
description = "Type-R probject."
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
]
[project.optional-dependencies]
accelerate = [
"accelerate<1.0.0,>=0.33.0",
]
full = [
"type-r-eval",
"type-r-ocr[full]",
]
[dependency-groups]
dev = [
"ipython==8.12.3",
"jupyter<2.0.0,>=1.0.0",
"matplotlib",
"tensorboard==2.14.0",
"pytest<9.0.0,>=8.3.1",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.uv.sources]
type-r-core = { workspace = true }
type-r-adjuster = { workspace = true }
type-r-dataset = { workspace = true }
type-r-t2i = { workspace = true }
type-r-ocr = { workspace = true }
type-r-eraser = { workspace = true }
type-r-editor = { workspace = true }
type-r-eval = { workspace = true }
[tool.uv.workspace]
members = [
"packages/type-r-core",
"packages/type-r-adjuster",
"packages/type-r-dataset",
"packages/type-r-t2i",
"packages/type-r-ocr",
"packages/type-r-eraser",
"packages/type-r-editor",
"packages/type-r-eval",
]
[tool.uv]
find-links = [
"https://download.pytorch.org/whl/cu126/torch",
"https://download.pytorch.org/whl/cu126/torchvision",
]