[tool.pdm]
[tool.pdm.dev-dependencies]
dev = [
    "pytest>=7.2.2",
]

[project]
name = "batdetect2"
version = "1.0.5"
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",
    "matplotlib",
    "numpy",
    "pandas",
    "scikit-learn",
    "scipy",
    "torch>=1.13.1,<2",
    "torchaudio",
    "torchvision",
    "click",
]
requires-python = ">=3.8,<3.11"
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 = 80

[[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"