batdetect2/pyproject.toml
2024-02-02 11:05:35 +00:00

90 lines
1.9 KiB
TOML

[tool.pdm]
[tool.pdm.dev-dependencies]
dev = [
"pytest>=7.2.2",
]
[project]
name = "batdetect2"
version = "1.0.8"
description = "Deep learning model for detecting and classifying bat echolocation calls in high frequency audio recordings."
authors = [
{ "name" = "Oisin Mac Aodha", "email" = "oisin.macaodha@ed.ac.uk" },
{ "name" = "Santiago Martinez Balvanera", "email" = "santiago.balvanera.20@ucl.ac.uk" }
]
dependencies = [
"librosa>=0.10.1",
"matplotlib>=3.7.1",
"numpy>=1.23.5",
"pandas>=1.5.3",
"scikit-learn>=1.2.2",
"scipy>=1.10.1",
"torch>=1.13.1",
"torchaudio",
"torchvision",
"click",
"soundevent>=1.3.5",
"click",
"click>=8.1.7",
]
requires-python = ">=3.8,<3.12"
readme = "README.md"
license = { text = "CC-by-nc-4" }
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Multimedia :: Sound/Audio :: Analysis",
]
keywords = [
"bat",
"echolocation",
"deep learning",
"audio",
"machine learning",
"classification",
"detection",
]
[build-system]
requires = ["pdm-pep517>=1.0.0"]
build-backend = "pdm.pep517.api"
[project.scripts]
batdetect2 = "batdetect2.cli:cli"
[tool.black]
line-length = 79
[tool.isort]
profile = "black"
line_length = 79
[[tool.mypy.overrides]]
module = [
"librosa",
"pandas",
]
ignore_missing_imports = true
[tool.pylsp-mypy]
enabled = false
live_mode = true
strict = true
[tool.pydocstyle]
convention = "numpy"
[tool.pyright]
include = [
"bat_detect",
"tests",
]
venvPath = "."
venv = ".venv"