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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["hatchling>=1.21.0", "hatch-vcs>=0.3.0"]
build-backend = "hatchling.build"
[project]
name = "blackmarblepy"
description = "Georeferenced Rasters of Nighttime Lights from NASA Black Marble data"
readme = { file = "README.md", content-type = "text/markdown" }
license = { file = "LICENSE" }
keywords = ["nighttime lights", "nasa black marble", "world bank"]
authors = [{ name = "World Bank", email = "github@worldbank.org" }]
maintainers = [
{ name = "Gabriel Stefanini Vicente", email = "gvicente@worldbank.org" },
{ name = "Robert Marty", email = "rmarty@worldbank.org" },
]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3 :: Only",
"Development Status :: 3 - Alpha",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering",
]
requires-python = ">=3.10"
dependencies = [
"backoff>=2,<3",
"geopandas<2",
"h5py",
"httpx",
"ipywidgets<9",
"nest_asyncio<2",
"numpy",
"pandas>=2,<3",
"pqdm",
"pydantic>2,<3",
"rasterio",
"rasterstats",
"rioxarray",
"tqdm",
"xarray",
"aiohttp",
]
dynamic = ["version"]
[project.optional-dependencies]
docs = [
"docutils==0.17.1", # https://jupyterbook.org/en/stable/content/citations.html?highlight=docutils#citations-and-bibliographies
"jupyter-book>=0.15.1",
"sphinxcontrib-apidoc>=0.4.0,<1",
]
tests = ["pytest"]
[project.urls]
"Homepage" = "https://worldbank.github.io/blackmarblepy"
"Bug Reports" = "https://github.com/worldbank/blackmarblepy/issues"
"Source" = "https://github.com/worldbank/blackmarblepy"
[tool.hatch.version]
source = "vcs"
[tool.hatch.build.hooks.vcs]
version-file = "src/blackmarble/_version.py"
[tool.hatch.build.targets.wheel]
packages = ["src/blackmarble"]
[tool.codespell]
skip = 'docs/_build,docs/references.bib,__pycache__,*.png,*.gz,*.whl'
ignore-regex = '^\s*"image\/png":\s.*'
ignore-words-list = "gost,"
[tool.ruff.lint.pydocstyle]
convention = "numpy"