⬆️🪝 update pre-commit hooks (#20)

* ⬆️🪝 update pre-commit hooks

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.5.2 → v0.5.4](astral-sh/ruff-pre-commit@v0.5.2...v0.5.4)
- [github.com/pre-commit/mirrors-mypy: v1.10.1 → v1.11.0](pre-commit/mirrors-mypy@v1.10.1...v1.11.0)

* 🎨 pre-commit fixes

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

.pre-commit-config.yaml

@@ -58,7 +58,7 @@ repos:
 
   # Python linting using ruff
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.5.2
+    rev: v0.5.4
     hooks:
       - id: ruff
         args: ["--fix", "--show-fixes"]
@@ -68,7 +68,7 @@ repos:
 
   # Static type checking using mypy
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.10.1
+    rev: v1.11.0
     hooks:
       - id: mypy
         files: ^(src/mqt|tests)

tests/test_evaluation.py

@@ -1084,8 +1084,7 @@ def test_simulated_annealer_solver_constrained(lambda_strategy: str, constraint_
             assert solution.optimal_solution_cost_functions_values() == {"a + b*c + c**2": -0.25} or not all_satisfy
         elif constraint_expr == "b <= 1":
             assert (
-                solution.best_solution == {"a": 0.0, "b": 1.0, "c": -0.5}
-                or solution.best_solution == {"a": 0.0, "b": -1.0, "c": 0.5}
+                solution.best_solution in ({"a": 0.0, "b": 1.0, "c": -0.5}, {"a": 0.0, "b": -1.0, "c": 0.5})
                 or not all_satisfy
             )
             assert (
@@ -1178,8 +1177,7 @@ def test_simulated_annealer_solver_constrained_lambda_update_mechanism(
             assert solution.optimal_solution_cost_functions_values() == {"a + b*c + c**2": -0.25} or not all_satisfy
         elif constraint_expr == "b <= 1":
             assert (
-                solution.best_solution == {"a": 0.0, "b": 1.0, "c": -0.5}
-                or solution.best_solution == {"a": 0.0, "b": -1.0, "c": 0.5}
+                solution.best_solution in ({"a": 0.0, "b": 1.0, "c": -0.5}, {"a": 0.0, "b": -1.0, "c": 0.5})
                 or not all_satisfy
             )
             assert (
@@ -1380,8 +1378,7 @@ def test_simulated_annealer_solver_constrained_lambda_update_mechanism_and_strat
             assert solution.optimal_solution_cost_functions_values() == {"a + b*c + c**2": -0.25} or not all_satisfy
         elif constraint_expr == "b <= 1":
             assert (
-                solution.best_solution == {"a": 0.0, "b": 1.0, "c": -0.5}
-                or solution.best_solution == {"a": 0.0, "b": -1.0, "c": 0.5}
+                solution.best_solution in ({"a": 0.0, "b": 1.0, "c": -0.5}, {"a": 0.0, "b": -1.0, "c": 0.5})
                 or not all_satisfy
             )
             assert (
@@ -1455,8 +1452,7 @@ def test_simulated_annealing_cost_function_matrix(
         all_satisfy, _each_satisfy = solution.check_constraint_optimal_solution()
         if constraint_expr == "M1_0_1 >= 1":
             assert (
-                solution.best_solution == {"M1": [[-1, 2]], "M2": [[2], [-1]]}
-                or solution.best_solution == {"M1": [[2, 2]], "M2": [[-1], [-1]]}
+                solution.best_solution in ({"M1": [[-1, 2]], "M2": [[2], [-1]]}, {"M1": [[2, 2]], "M2": [[-1], [-1]]})
                 or not all_satisfy
             )
             assert (solution.best_energy < -3.9) or not all_satisfy