[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

.github/workflows/main.yaml

@@ -1,12 +1,12 @@
 name: CI
 on:
   push:
-    branches: ['main']
+    branches: ["main"]
   pull_request:
-    branches: ['main']
+    branches: ["main"]
   workflow_dispatch:
   schedule:
-    - cron: '0 0 * * 0' # Weekly “At 00:00”
+    - cron: "0 0 * * 0" # Weekly “At 00:00”
 
 # concurrency:
 #   group: ${{ github.workflow }}-${{ github.ref }}
@@ -22,7 +22,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ['3.9', '3.10', '3.11']
+        python-version: ["3.9", "3.10", "3.11"]
     timeout-minutes: 20
     defaults:
       run:
@@ -40,7 +40,7 @@ jobs:
             python=${{ matrix.python-version }}
           # now called cache-environment
           cache-environment: true
-          post-cleanup: 'none'
+          post-cleanup: "none"
           cache-downloads: false
 
       - name: Install package

.github/workflows/pypi-release.yaml

@@ -22,7 +22,7 @@ jobs:
       - uses: actions/setup-python@v5.0.0
         name: Install Python
         with:
-          python-version: '3.11'
+          python-version: "3.11"
 
       - name: Install dependencies
         run: |
@@ -70,7 +70,7 @@ jobs:
       - uses: actions/setup-python@v5.0.0
         name: Install Python
         with:
-          python-version: '3.11'
+          python-version: "3.11"
       - uses: actions/download-artifact@v4
         with:
           name: releases

.pre-commit-config.yaml

@@ -19,7 +19,7 @@ repos:
     hooks:
       - id: pyupgrade
         args:
-          - '--py38-plus'
+          - "--py38-plus"
 
   - repo: https://github.com/psf/black
     rev: 24.4.2
@@ -33,10 +33,10 @@ repos:
       - id: blackdoc
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: 'v0.5.0'
+    rev: "v0.5.0"
     hooks:
       - id: ruff
-        args: ['--fix']
+        args: ["--fix"]
 
   - repo: https://github.com/pre-commit/mirrors-prettier
     rev: v4.0.0-alpha.8

.readthedocs.yaml

@@ -8,7 +8,7 @@ version: 2
 build:
   os: ubuntu-20.04
   tools:
-    python: 'mambaforge-4.10'
+    python: "mambaforge-4.10"
 
 # Build documentation in the doc/ directory with Sphinx
 sphinx:

cmip6_downscaling/config.py

@@ -1,4 +1,5 @@
 """Config file used by donfig"""
+
 from __future__ import annotations
 
 _defaults = {

docs/running-flows.md

@@ -44,7 +44,7 @@ config.set({'runtime': 'cloud'})
 ```yaml
 run_options:
 
-runtime: 'cloud'
+runtime: "cloud"
 ```
 
 ### Environment Variables

flows/catalogs/web_catalog.py

@@ -284,9 +284,9 @@ def parse_cmip6_downscaled_pyramid(
     query = {
         'source_id': parameters['model'],
         'member_id': parameters['member'],
-        'experiment_id': 'historical'
-        if parameters['scenario'] == 'hist'
-        else parameters['scenario'],
+        'experiment_id': (
+            'historical' if parameters['scenario'] == 'hist' else parameters['scenario']
+        ),
         'variable_id': parameters['variable'],
     }
 
@@ -389,9 +389,9 @@ def parse_cmip6_downscaled_pyramid(
             downscaling_method=attrs['method'],
             root_path=root_path,
         )
-        attrs[
-            'name'
-        ] = f"{targets['destination_name']}.{attrs['timescale']}"  # make sure the name is unique
+        attrs['name'] = (
+            f"{targets['destination_name']}.{attrs['timescale']}"  # make sure the name is unique
+        )
         attrs['destination_path'] = targets['destination_path']
         attrs['source_path'] = from_az_to_https(attrs['daily_downscaled_data_uri'], root_path)
 

flows/cmip6_raw_pyramids.py

@@ -93,8 +93,9 @@ def preprocess(ds) -> xr.Dataset:
 def _compute_summary_helper(path, freq, chunks):
     import xarray as xr
 
-    with xr.set_options(keep_attrs=True), dask.config.set(
-        **{'array.slicing.split_large_chunks': False}
+    with (
+        xr.set_options(keep_attrs=True),
+        dask.config.set(**{'array.slicing.split_large_chunks': False}),
     ):
         ds = xr.open_zarr(path).pipe(preprocess)
         if ds.attrs['variable_id'] in {'tasmax', 'tasmin'}: