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pyproject.toml
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pyproject.toml
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[project]
authors = [
{ name = "Jarmo S. Kikstra", email = "[email protected]"},
{ name = "Jonas Hörsch" },
{ name = "Zebedee Nicholls", email = "[email protected]"},
]
requires-python = "==3.11"
dependencies = [
"pre-commit==3.3.1",
"ptolemy-iamc @ git+https://github.com/gidden/ptolemy.git@015aa843c340bd57464eb7cfd5f3c8e397201266",
"aneris-iamc @ git+https://github.com/iiasa/aneris.git@9e5aa002b523f1d5d0ac32554988816e8c20cb44", "openscm-units>=0.6.2", "scmdata>=0.17.0,<0.18",
]
name = "emissions-harmonization-historical"
version = "0.1.0"
description = "Scripts that combine historical emissions data records from several datasets like CEDS and GFED to create complete historical emissions files that are input to the IAM emissions harmonization algorithms in `IAMconsortium/concordia` (regional harmonization and spatial gridding for ESMs) and `iiasa/climate-assessment` (global climate emulator workflow)."
readme = "README.md"
[tool.pixi.project]
channels = [
"conda-forge",
]
platforms = [
"osx-64",
"osx-arm64",
"linux-64",
"linux-aarch64",
"win-64",
]
[tool.pixi.tasks]
[tool.pixi.dependencies]
jupyterlab = ">=4.2.5,<5"
jupytext = ">=1.16.4,<2"
pandas = ">=2.2.3,<3"
pandas-indexing = ">=0.5.2,<0.6"
openpyxl = ">=3.1.5,<4"
pyarrow = ">=17.0.0,<18"
pip = ">=24.2,<25"
dask = ">=2024.9.1,<2025"
geopandas = ">=1.0.1,<2"
xarray = ">=2024.9.0,<2025"
affine = ">=2.4.0,<3"
flox = ">=0.9.12,<0.10"
cf_xarray = ">=0.9.5,<0.10"
rasterio = ">=1.4.1,<2"
cftime = ">=1.6.4,<2"
h5py = ">=3.11.0,<4"
netcdf4 = ">=1.7.1,<2"
h5netcdf = ">=1.4.0,<2"
pooch = ">=1.8.2,<2"
nc-time-axis = ">=1.4.1,<2"
pint-xarray = ">=0.4,<0.5"
seaborn = ">=0.13.2,<0.14"
[tool.pixi.pypi-dependencies]
emissions_harmonization_historical = { path = ".", editable = true }
[tool.jupytext]
formats = "ipynb,py:percent"
[tool.ruff]
src = ["src"]
line-length = 120
[tool.ruff.lint]
select = [
"E",
"W",
"F",
"I",
"D",
"PL",
"TRY",
"NPY",
"RUF",
"UP",
"S",
]
unfixable = [ ]
ignore = [
"S101",
"D100",
"D200",
"D400",
"UP007",
]
[tool.ruff.lint.isort]
known-first-party = ["src"]
[tool.ruff.lint.pydocstyle]
convention = "numpy"