Update pre-commit hooks and add ci config (#732)

Author: tomvothecoder

.github/workflows/build_workflow.yml

@@ -42,7 +42,7 @@ jobs:
                   python-version: "3.10"
 
             - name: Install and Run Pre-commit
-              uses: pre-commit/[email protected].0
+              uses: pre-commit/[email protected].1
 
     build:
         needs: skip-duplicate-actions

.pre-commit-config.yaml

@@ -2,16 +2,18 @@ exclude: "docs|node_modules|migrations|.git|.tox"
 default_stages: [commit]
 fail_fast: true
 
+# To update pre-commit hooks, run `pre-commit autoupdate` in the terminal.
+# Then update the versions in `conda-env/dev.yml`.
 repos:
     - repo: https://github.com/pre-commit/pre-commit-hooks
-      rev: v4.6.0
+      rev: v5.0.0
       hooks:
           - id: trailing-whitespace
           - id: end-of-file-fixer
           - id: check-yaml
 
     - repo: https://github.com/astral-sh/ruff-pre-commit
-      rev: v0.6.8
+      rev: v0.9.4
       hooks:
           # Sort the imports
           - id: ruff
@@ -24,15 +26,15 @@ repos:
           - id: ruff-format
 
     - repo: https://github.com/pre-commit/mirrors-mypy
-      rev: v1.11.2
+      rev: v1.14.1
       hooks:
           - id: mypy
             args: ["--config=pyproject.toml"]
             additional_dependencies:
                 [
                     dask,
-                    numpy>=1.23.0,
+                    "numpy>=2.0.0,<3.0.0",
                     pandas,
-                    xarray>=2023.2.0,
+                    xarray>=2024.03.0,
                     types-python-dateutil,
                 ]

conda-env/dev.yml

@@ -36,9 +36,9 @@ dependencies:
     # ==================
     - types-python-dateutil
     # NOTE: If the tools below are updated, also update their 'rev' in `.pre-commit.config.yaml`
-    - pre-commit=3.2.0
-    - ruff=0.6.8
-    - mypy=1.11.2
+    - pre-commit=4.1.0
+    - ruff=0.9.4
+    - mypy=1.14.1
     # Testing
     # ==================
     - pytest

tests/fixtures.py

@@ -461,7 +461,7 @@ def generate_multiple_variable_dataset(
         if separate_dims:
             var_names += list(ds_base.sizes.keys())  # type: ignore[arg-type]
 
-        ds_copy = ds_copy.rename({x: f"{x}{idx+1}" for x in var_names})
+        ds_copy = ds_copy.rename({x: f"{x}{idx + 1}" for x in var_names})
 
         datasets.append(ds_copy)
 

xcdat/temporal.py

@@ -978,7 +978,7 @@ def _set_arg_attrs(
         if mode not in list(MODES):
             modes = ", ".join(f'"{word}"' for word in MODES)
             raise ValueError(
-                f"Incorrect `mode` argument. Supported modes include: " f"{modes}."
+                f"Incorrect `mode` argument. Supported modes include: {modes}."
             )
 
         freq_keys = TIME_GROUPS[mode].keys()