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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "webdreamer"
version = "0.1.0"
description = "Training LLMs as web agents with synthetic data."
license = "MIT"
authors= [
"Ajay Patel <me@ajayp.app>"
]
maintainers = [
"Ajay Patel <me@ajayp.app>"
]
readme = "README.md"
homepage = "https://github.com/AjayP13/webdreamer"
repository = "https://github.com/AjayP13/webdreamer"
documentation = "https://github.com/AjayP13/webdreamer"
keywords = ["machine learning", "nlp"]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
]
packages = [
{include = "webdreamer"}
]
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
[tool.poetry.group.dev.dependencies]
poetry = "1.4.2"
[tool.ruff]
extend-exclude = ["webarena_benchmark", "webarena_benchmark_docker_env"]
[tool.ruff.format]
skip-magic-trailing-comma = true
[tool.ruff.lint]
select = ["E4", "E7", "E9", "F", "B", "C90"]
ignore = ["E203", "E501"]
unfixable = ["B"]
[tool.ruff.lint.mccabe]
max-complexity = 12
[tool.ruff.lint.isort]
combine-as-imports = true
[tool.pytest.ini_options]
addopts = "-v --cov=src --cov-report term-missing --cov-report json"
filterwarnings = ["ignore::DeprecationWarning:jupyter_client.*:"]
[tool.mypy]
check_untyped_defs = true
warn_return_any = true
warn_unused_ignores = true
mypy_path = "src/_stubs"
[[tool.mypy.overrides]]
module = "tensorflow,torch_xla"
ignore_missing_imports = true
[tool.pyright]
exclude = ["webarena_benchmark/", "webarena_benchmark_docker_env/", ".cluster/", ".venv/", ".venv_dev/", ".venv_poetry/", ".*/"]
[tool.coverage.run]
omit = ["src/project/*", "src/tests/*"]