🎨 pre-commit fixes

src/mqt/ddsim/deterministicnoisesimulator.py

@@ -48,12 +48,12 @@ def _default_options(cls) -> Options:
     @staticmethod
     def _run_experiment(qc: QuantumCircuit, **options: dict[str, Any]) -> ExperimentResult:
         start_time = time.time()
-        noise_effects = cast(str, options.get("noise_effects", "APD"))
-        noise_probability = cast(float, options.get("noise_probability", 0.01))
-        amp_damping_probability = cast(float, options.get("amp_damping_probability", 0.02))
-        multi_qubit_gate_factor = cast(float, options.get("multi_qubit_gate_factor", 2))
-        seed = cast(int, options.get("simulator_seed", -1))
-        shots = cast(int, options.get("shots", 1024))
+        noise_effects = cast("str", options.get("noise_effects", "APD"))
+        noise_probability = cast("float", options.get("noise_probability", 0.01))
+        amp_damping_probability = cast("float", options.get("amp_damping_probability", 0.02))
+        multi_qubit_gate_factor = cast("float", options.get("multi_qubit_gate_factor", 2))
+        seed = cast("int", options.get("simulator_seed", -1))
+        shots = cast("int", options.get("shots", 1024))
 
         sim = ddsim.DeterministicNoiseSimulator(
             circ=qc,

src/mqt/ddsim/pathqasmsimulator.py

@@ -129,7 +129,7 @@ def get_simulation_path(
         minimize="flops",
     )
     info = tn.contract(all, get="path-info", optimize=opt)
-    path = cast(list[tuple[int, int]], linear_to_ssa(info.path))
+    path = cast("list[tuple[int, int]]", linear_to_ssa(info.path))
 
     if dump_path:
         filename = qc.name + "_" + str(qc.num_qubits) + ".path" if isinstance(qc, QuantumCircuit) else "simulation.path"

src/mqt/ddsim/primitives/estimator.py

@@ -180,10 +180,10 @@ def _run_experiment(
         obs_circ_list: list[QuantumCircuit],
         **options: dict[str, Any],
     ) -> list[float]:
-        approximation_step_fidelity = cast(float, options.get("approximation_step_fidelity", 1.0))
-        approximation_steps = cast(int, options.get("approximation_steps", 1))
+        approximation_step_fidelity = cast("float", options.get("approximation_step_fidelity", 1.0))
+        approximation_steps = cast("int", options.get("approximation_steps", 1))
         approximation_strategy = str(options.get("approximation_strategy", "fidelity"))
-        seed = cast(int, options.get("seed_simulator", -1))
+        seed = cast("int", options.get("seed_simulator", -1))
 
         sim = CircuitSimulator(
             circ,

src/mqt/ddsim/provider.py

@@ -4,7 +4,6 @@
 
 from typing import TYPE_CHECKING, Any, cast
 
-from qiskit.providers import BackendV2
 from qiskit.providers.exceptions import QiskitBackendNotFoundError
 from qiskit.providers.providerutils import filter_backends
 
@@ -21,6 +20,8 @@
 if TYPE_CHECKING:
     from collections.abc import Callable
 
+    from qiskit.providers import BackendV2
+
 
 class DDSIMProvider:
     """Provider for DDSIM backends."""
@@ -70,7 +71,7 @@ def backends(
         backends = [
             backend_cls() for backend_name, backend_cls in self._BACKENDS if name is None or backend_name == name
         ]
-        return cast(list[BackendV2], filter_backends(backends, filters=filters, **kwargs))
+        return cast("list[BackendV2]", filter_backends(backends, filters=filters, **kwargs))
 
     def __str__(self) -> str:
         """Return the provider name."""

src/mqt/ddsim/qasmsimulator.py

@@ -172,11 +172,11 @@ def _run_job(
 
     def _run_experiment(self, qc: QuantumCircuit, **options: dict[str, Any]) -> ExperimentResult:
         start_time = time.time()
-        approximation_step_fidelity = cast(float, options.get("approximation_step_fidelity", 1.0))
-        approximation_steps = cast(int, options.get("approximation_steps", 1))
+        approximation_step_fidelity = cast("float", options.get("approximation_step_fidelity", 1.0))
+        approximation_steps = cast("int", options.get("approximation_steps", 1))
         approximation_strategy = str(options.get("approximation_strategy", "fidelity"))
-        seed = cast(int, options.get("seed_simulator", -1))
-        shots = cast(int, options.get("shots", 1024))
+        seed = cast("int", options.get("seed_simulator", -1))
+        shots = cast("int", options.get("shots", 1024))
 
         sim = CircuitSimulator(
             qc,

src/mqt/ddsim/stochasticnoisesimulator.py

@@ -46,15 +46,15 @@ def _default_options(cls) -> Options:
     @staticmethod
     def _run_experiment(qc: QuantumCircuit, **options: dict[str, Any]) -> ExperimentResult:
         start_time = time.time()
-        approximation_step_fidelity = cast(float, options.get("approximation_step_fidelity", 1.0))
-        approximation_steps = cast(int, options.get("approximation_steps", 1))
-        approximation_strategy = cast(str, options.get("approximation_strategy", "fidelity"))
-        noise_effects = cast(str, options.get("noise_effects", "APD"))
-        noise_probability = cast(float, options.get("noise_probability", 0.01))
-        amp_damping_probability = cast(float, options.get("amp_damping_probability", 0.02))
-        multi_qubit_gate_factor = cast(float, options.get("multi_qubit_gate_factor", 2))
-        seed = cast(int, options.get("seed_simulator", -1))
-        shots = cast(int, options.get("shots", 1024))
+        approximation_step_fidelity = cast("float", options.get("approximation_step_fidelity", 1.0))
+        approximation_steps = cast("int", options.get("approximation_steps", 1))
+        approximation_strategy = cast("str", options.get("approximation_strategy", "fidelity"))
+        noise_effects = cast("str", options.get("noise_effects", "APD"))
+        noise_probability = cast("float", options.get("noise_probability", 0.01))
+        amp_damping_probability = cast("float", options.get("amp_damping_probability", 0.02))
+        multi_qubit_gate_factor = cast("float", options.get("multi_qubit_gate_factor", 2))
+        seed = cast("int", options.get("seed_simulator", -1))
+        shots = cast("int", options.get("shots", 1024))
 
         sim = ddsim.StochasticNoiseSimulator(
             circ=qc,