pyproject.toml

[build-system]
requires = ["scikit-build-core>=0.8", "pybind11>=2.11"]
build-backend = "scikit_build_core.build"

[project]
name = "dasio"
version = "0.1.0"
description = "Lightweight standalone IO + basic processing for DAS (Distributed Acoustic Sensing) data"
readme = "README.md"
license = { text = "MIT" }
requires-python = ">=3.10"
dependencies = [
    "numpy>=1.23",
    "h5py>=3",
    "scipy>=1.9",
    "numba>=0.57",
    "pandas>=1.5",
    "pyarrow>=14",
    "matplotlib>=3.6",
    "joblib>=1.2",
    "tqdm>=4",
]

[project.optional-dependencies]
dev = ["pytest>=7"]
# ipykernel, not jupyterlab: the env has to be usable *as a kernel*, which is
# what both VSCode and a browser JupyterLab connect to, and ipywidgets does not
# pull it. JupyterLab itself is the frontend application -- VSCode replaces it
# outright, and a browser install is made once in the launching env -- so
# declaring it would add 66 packages (jupyter-server, nbconvert, tornado, ...)
# that the viewer never calls. The widget renderer, jupyterlab_widgets, does
# come with ipywidgets.
viewer = ["fastplotlib>=0.3", "ipywidgets>=8", "ipykernel>=6"]
noise = ["torch>=2"]
pick = ["phasenet>=0.2"]

[project.scripts]
das-desample = "dasio.desample:main"
das-extract-events = "dasio.extract_events:main"

[tool.scikit-build]
cmake.version = ">=3.15"
wheel.packages = ["dasio"]