[build-system]
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"]