pyproject.toml

[project]
name = "fimserve"
version = "0.1.94"
description = "Framework which is developed with the purpose of quickly generating Flood Inundation Maps (FIM) for emergency response and risk assessment. It is developed under Surface Dynamics Modeling Lab (SDML)."
authors = [{ name = "Supath Dhital", email = "sdhital@crimson.ua.edu" }]
maintainers = [{ name = "Supath Dhital", email = "sdhital@crimson.ua.edu" }]
license = { text = "GPL-3.0" }
readme = "README.md"
requires-python = ">=3.10,<3.13"
dependencies = [
    "teehr==0.5.0",
    "geemap>=0.35.1",
    "pyarrow>=15.0.2",
    "numpy>=2.0.0",
    "netcdf4>=1.7.2",
    "fiona>=1.10.1",
    "utils>=1.0.2",
    "matplotlib>=3.9.2",
    "awscli>=1.42.0",
    "boto3>=1.40.0",
    "numba==0.60.0",
    "bottleneck>=1.3.6",
    "localtileserver>=0.10.5",
    "tqdm>=4.67.0",
    "scipy>=1.14.1",
    "aiohttp>=3.12.14",
    "scikit-learn>=1.5.2",
    "tabulate>=0.9.0",
    "nodejs-bin>=18.4.0a4",
    "ipykernel>=6.17.1",
    "beautifulsoup4>=4.12.3",
    "python-dotenv>=1.0.1",
    "jupyter>=1.1.1",
    "notebook>=6.5.7",
    "geocube<=0.7.1",
    "geopandas>=0.14.3",
    "fimeval>=0.1.59",
    "setuptools>=82.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.3,<8.4",
    "sphinx<7.0",
    "sphinx-autobuild>=2024.10.3",
    "black"
]

# Install with: pip install "fimserve[sm]"
# This pulls in PyTorch and SM-enhancement runtime dependencies.
sm = [
    "torch>=2.3.0",
    "pytorch-lightning>=2.2,<3",
    "torchmetrics>=1.3,<2",
    "msfootprint>=0.1.31",
]

[project.urls]
Homepage = "https://github.com/sdmlua/FIMserv"
Repository = "https://github.com/sdmlua/FIMserv"
Issues = "https://github.com/sdmlua/FIMserv/issues"

[build-system]
requires = ["setuptools>=69.0"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
include-package-data = true

[tool.setuptools.packages.find]
where = ["src"]
exclude = ["tests*"]

[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-ra -q"
testpaths = ["tests"]