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pyproject.toml
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41 lines (36 loc) · 1.13 KB
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[build-system]
requires = [
"setuptools>=60",
"setuptools-scm[toml]>=6.2"]
build-backend = "setuptools.build_meta"
[project]
name = "wavedp"
version = "0.2.4"
license = "GPL-3.0-or-later"
authors = [
{ name="Chengping Chai, Derek Rose, Scott Stewart, Nathan Martindale, Mark Adams, Anibely Torres Polanco, Lisa Linville, Christopher Stanley, and Philip Bingham", email="chaic@ornl.gov" },
]
description = "WaveDP is a large dual-task deep learning model to reduce background noise and measure signal arrival times from seismic signals."
readme = "README.md"
requires-python = ">=3.11"
classifiers = [
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
"Programming Language :: Python :: 3",
"Operating System :: OS Independent",
]
dependencies = [
"torch>=2.3.0",
"numpy>=1.26.4",
"lightning>=2.2.4",
"h5py>=3.11.0",
"matplotlib>=3.8.0",
]
[tool.setuptools.packages.find]
where = ["src"]
[tool.setuptools.package-data]
"wavedp.model" = ["*.ckpt"]
[project.optional-dependencies]
development = ["flake8", "black", "pre-commit"]
[project.urls]
Homepage = "https://github.com/ornl/wave-dp"