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[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "mai-dx"
version = "0.0.1"
description = "MAI-DxO - Pytorch"
license = "MIT"
authors = ["Kye Gomez <[email protected]>"]
homepage = "https://github.com/The-Swarm-Corporation/Open-MAI-Dx-Orchestrator"
documentation = "https://github.com/The-Swarm-Corporation/Open-MAI-Dx-Orchestrator" # Add this if you have documentation.
readme = "README.md" # Assuming you have a README.md
repository = "https://github.com/The-Swarm-Corporation/Open-MAI-Dx-Orchestrator"
keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering"]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3.9"
]
[tool.poetry.dependencies]
python = "^3.10"
swarms = "*"
loguru = "*"
pydantic = "*"
[tool.poetry.group.lint.dependencies]
ruff = "^0.1.6"
types-toml = "^0.10.8.1"
types-redis = "^4.3.21.6"
types-pytz = "^2023.3.0.0"
black = "^23.1.0"
types-chardet = "^5.0.4.6"
mypy-protobuf = "^3.0.0"
[tool.autopep8]
max_line_length = 80
ignore = "E501,W6" # or ["E501", "W6"]
in-place = true
recursive = true
aggressive = 3
[tool.ruff]
line-length = 70
[tool.black]
line-length = 70
target-version = ['py38']
preview = true
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