[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: "v5.0.0"
+    rev: "v6.0.0"
     hooks:
       - id: check-added-large-files
         exclude: ^docs/_static/k3d_(tesla|wr75)_example\.html$
@@ -26,18 +26,18 @@ repos:
       - id: trailing-whitespace
         types_or: [python, toml]
   - repo: https://github.com/asottile/pyupgrade
-    rev: v3.19.1
+    rev: v3.22.0
     hooks:
     -   id: pyupgrade
   - repo: https://github.com/pycqa/isort  # args set in pyproject.toml
-    rev: 6.0.1
+    rev: 9.0.2
     hooks:
       - id: isort
         name: isort (python)
       - id: isort
         name: isort (cython)
         types: [cython]
-  - repo: https://github.com/psf/black  # args set in pyproject.toml
-    rev: 25.1.0
+  - repo: https://github.com/psf/black-pre-commit-mirror  # args set in pyproject.toml
+    rev: 26.10.1
     hooks:
       - id: black

release.py

@@ -8,6 +8,7 @@
    python release.py <X.Y.Z>
 
 """
+
 import re
 import subprocess
 import sys

src/simultipac/simulation_results/simulations_results.py

@@ -228,7 +228,7 @@ def _to_plot(
 
         """
         if to_plot is not None:
-            return [r for r in to_plot]
+            return [*to_plot]
         if id_to_plot is not None:
             return [self.get_by_id(id) for id in id_to_plot]
         if idx_to_plot is None:

src/simultipac/util/log_manager.py

@@ -12,6 +12,7 @@
 https://en.wikipedia.org/wiki/ANSI_escape_code#Colors
 
 """
+
 import logging
 import subprocess
 import sys

tests/simulation_results/test_simulations_results.py

@@ -117,7 +117,7 @@ def test_to_pandas() -> None:
     returned = SimulationsResults(results)._to_pandas("id", "e_acc")
     expected = pd.DataFrame(
         {
-            "id": [i for i in range(n_points)],
+            "id": [*range(n_points)],
             "e_acc": [i**2 for i in range(n_points)],
         }
     )
@@ -139,7 +139,7 @@ def test_to_pandas_with_exp_growth_params() -> None:
     returned = SimulationsResults(results)._to_pandas("id", "alpha")
     expected = pd.DataFrame(
         {
-            "id": [i for i in range(n_points)],
+            "id": [*range(n_points)],
             "alpha": [i**2 for i in range(n_points)],
         }
     )

tests/util/test_exponential_growth.py

@@ -28,7 +28,7 @@ def test_indexes_for_fit_no_multipactor() -> None:
         time, population, fitting_range=5.0, minimum_number_of_points=0
     )
 
-    assert [i for i in indexes] == [1, 2, 3, 4, 5, 6]
+    assert [*indexes] == [1, 2, 3, 4, 5, 6]
 
 
 def test_indexes_for_fit_with_multipactor() -> None:
@@ -41,7 +41,7 @@ def test_indexes_for_fit_with_multipactor() -> None:
         time, population, fitting_range=4.0, minimum_number_of_points=0
     )
 
-    assert [i for i in indexes] == [6, 7, 8, 9, 10]
+    assert [*indexes] == [6, 7, 8, 9, 10]
 
 
 def test_indexes_for_fit_fitting_larger_than_simulation_warning(
@@ -57,7 +57,7 @@ def test_indexes_for_fit_fitting_larger_than_simulation_warning(
         time, population, fitting_range=5.0, minimum_number_of_points=0
     )
 
-    assert [i for i in indexes] == [0, 1, 2]
+    assert [*indexes] == [0, 1, 2]
     mock_warning.assert_called_once()
 
 
@@ -74,7 +74,7 @@ def test_indexes_for_fit_fitting_not_enough_points_warning(
         time, population, fitting_range=2.0, minimum_number_of_points=5
     )
 
-    assert [i for i in indexes] == [0, 1, 2]
+    assert [*indexes] == [0, 1, 2]
     mock_warning.assert_called_once()