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pyproject.toml
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[tool.poetry]
name = "birdseye"
version = "0.2.2-dev"
description = "The BirdsEye project demonstrates the simulated tracking of radio frequency (RF) signals via reinforcement learning (RL) techniques implemented on low-fidelity sensors."
authors = ["Your Name <[email protected]>"]
license = "Apache-2"
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.9,<3.13"
flask = "3.0.3"
imageio = "2.34.2"
ipython = "8.18.1"
matplotlib = "3.9.1.post1"
numpy = "2.0.1"
paho-mqtt = "2.1.0"
pandas = "2.2.2"
pfilter = "0.2.5"
requests = "2.32.3"
scipy = "1.13.1"
tqdm = "4.66.5"
seaborn = "^0.13.0"
pynput = "^1.7.6"
[tool.poetry.group.dev.dependencies]
pylint = "^3.0.0"
pytype = "^2024.0.0"
pytest = "^8.0.0"
pytest-cov = "^5.0.0"
torch = ">=2.0.0, !=2.0.1"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"