File size: 1,441 Bytes
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requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
[tool.hatch.version]
source = "vcs"
[tool.hatch.build.targets.wheel]
include = ["cde_benchmark"]
[project]
name = "cde_benchmark"
dynamic = ["version"]
description = "The code used to train and run inference with the OptimusVLM architecture."
authors = [
{ name = "Manuel Faysse", email = "manuel.faysse@illuin.tech" },
]
maintainers = [
{ name = "Manuel Faysse", email = "manuel.faysse@illuin.tech" },
]
readme = "README.md"
requires-python = ">=3.10"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"torch>=2.2.0",
"mteb>=1.16.3,<1.29.0",
"datasets>=2.19.1",
"transformers>=4.48.0,<4.49.0",
]
[project.optional-dependencies]
dev = ["pytest>=8.0.0", "ruff>=0.4.0"]
all = ["cde_benchmark"]
[project.urls]
homepage = "https://github.com/ManuelFay/contextualized-embeddings-benchmark"
[tool.pytest.ini_options]
filterwarnings = ["ignore::Warning"]
markers = ["slow: marks test as slow"]
testpaths = ["tests"]
[tool.ruff]
line-length = 120
[tool.ruff.lint]
select = ["E", "F", "W", "I", "N"]
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]
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