🎨 pre-commit fixes

Author: pre-commit-ci[bot]

src/mqt/problemsolver/satellitesolver/algorithms.py

@@ -76,7 +76,7 @@ def compute_expectation(counts: dict[str, int], Q: NDArray[np.float64]) -> float
         A dictionary where keys are bitstrings and values are their counts.
     Q : NDArray[np.float64]
         The QUBO matrix represented as a NumPy array.
-    
+
     Returns
     -------
     float
@@ -171,7 +171,7 @@ def cost_func(self, params: list[float], circuit: QuantumCircuit) -> float:
             The parameters for the QAOA circuit, where params[0] is beta and params[1] is gamma.
         circuit : QuantumCircuit
             The QAOA circuit to be evaluated.
-        
+
         Returns
         -------
         float
@@ -195,7 +195,7 @@ def optimize_with_multiple_init_parameters(self, circuit: QuantumCircuit) -> lis
         ----------
         circuit : QuantumCircuit
             The QAOA circuit to be optimized.
-        
+
         Returns
         -------
         list[float]
@@ -228,7 +228,7 @@ def evaluate_result(self, circuit: QuantumCircuit) -> tuple[str, int, float]:
         ----------
         circuit : QuantumCircuit
             The QAOA circuit to be evaluated.
-        
+
         Returns
         -------
         tuple[str, int, float]

src/mqt/problemsolver/satellitesolver/utils.py

@@ -149,14 +149,14 @@ def check_solution(ac_reqs: list[LocationRequest], solution_vector: list[int]) -
 
 def create_satellite_qubo(all_acqs: list[LocationRequest], penalty: int = 8) -> QUBO:
     """Creates a QUBO matrix directly for the satellite location request problem
-    
+
     Parameters
     ----------
     all_acqs : list[LocationRequest]
         List of all acquisition requests.
     penalty : int, optional
         Penalty for conflicting requests, by default 8
-    
+
     Returns
     -------
     QUBO: QUBO
@@ -187,7 +187,7 @@ def qubo_to_matrix(qubo: QUBO) -> NDArray[np.float64]:
     ----------
     qubo : QUBO
         A QUBO object representing the problem.
-    
+
     Returns
     -------
     NDArray[np.float64]