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pyproject.toml
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47 lines (43 loc) · 1.4 KB
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[tool.poetry]
name = "diagnosability"
version = "0.1.0"
description = "Monitoring and diagnosability of AV's perception systems"
authors = ["Pasquale Antonante <antonap@mit.edu>"]
[tool.poetry.dependencies]
python = ">=3.8,<3.9"
pgmpy = {path = "../pgmpy", develop = true}
pandas = "^1.2.5"
scipy = "^1.7.0"
nptyping = "^1.4.2"
scikit-learn = "^0.24.2"
poethepoet = "^0.10.0"
gin-config = "^0.4.0"
matplotlib = "^3.4.2"
bidict = "^0.21.2"
rich = "^10.15.1"
pydot = "^1.4.2"
mlflow = "^1.19.0"
yaspin = "^2.1.0"
ortools = "^9.3.10459"
msgpack-python = "^0.5.6"
dataclasses-json = "^0.5.7"
dacite = "^1.6.0"
dash = "^2.3.1"
dash-bootstrap-components = "^1.1.0"
dash-cytoscape = "^0.3.0"
scienceplots = {git = "https://github.com/garrettj403/SciencePlots"}
seaborn = "^0.8.1"
adjustText = "^0.7.3"
click = "=8.0.4"
[tool.poetry.dev-dependencies]
pytest = "^5.2"
black = "^21.6b0"
ptvsd = "^4.3.2"
numpy = "^1.22.3"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poe.tasks]
install-pytorch = "python -m pip install torch==1.9.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html torch-sparse -f https://pytorch-geometric.com/whl/torch-1.9.0+cu111.html torch-scatter -f https://pytorch-geometric.com/whl/torch-1.9.0+cu111.html torch-geometric pytorch-lightning"
mlflow-start = { shell = "mlflow server --host 0.0.0.0 &; sleep 2" }
mlflow-stop = { shell = "pkill -f gunicorn" }