refiners/pyproject.toml

[project]
name = "refiners"
version = "0.2.0"
description = "The simplest way to train and run adapters on top of foundational models"
authors = [{ name = "The Finegrain Team", email = "bonjour@lagon.tech" }]
license = "MIT"
dependencies = [
    "torch>=2.1.1",
    "safetensors>=0.4.0",
    "pillow>=10.1.0",
    "jaxtyping>=0.2.23",
    "packaging>=23.2",
]
readme = "README.md"
requires-python = ">= 3.10"

[project.optional-dependencies]
training = [
    "bitsandbytes>=0.41.2.post2",
    "pydantic>=2.5.2",
    "prodigyopt>=1.0",
    "torchvision>=0.16.1",
    "loguru>=0.7.2",
    "wandb>=0.16.0",
    # Added scipy as a work around until this PR gets merged:
    # https://github.com/TimDettmers/bitsandbytes/pull/525
    "scipy>=1.11.4",
    "datasets>=2.15.0",
]
test = [
    "diffusers>=0.24.0",
    "transformers>=4.35.2",
    "piq>=0.8.0",
    "invisible-watermark>=0.2.0",
    "torchvision>=0.16.1",
    # An unofficial Python package for Meta AI's Segment Anything Model:
    # https://github.com/opengeos/segment-anything
    "segment-anything-py>=1.0",
]
conversion = [
    "diffusers>=0.24.0",
    "transformers>=4.35.2",
    "segment-anything-py>=1.0",
]

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


[tool.rye]
managed = true
dev-dependencies = [
    "pyright == 1.1.333",
    "ruff>=0.0.292",
    "docformatter>=1.7.5",
    "pytest>=7.4.2",
]


[tool.hatch.metadata]
allow-direct-references = true

[tool.rye.scripts]
lint = { chain = ["ruff format .", "ruff --fix ."] }

[tool.black]
line-length = 120

[tool.ruff]
ignore = [
    "F722", # forward-annotation-syntax-error, because of Jaxtyping
    "E731", # do-not-assign-lambda
]
line-length = 120

[tool.docformatter]
black = true

[tool.pyright]
include = ["src/refiners", "tests", "scripts"]
strict = ["*"]
exclude = ["**/__pycache__"]
reportMissingTypeStubs = "warning"