⬆️🪝 update pre-commit hooks

.pre-commit-config.yaml

@@ -45,7 +45,7 @@ repos:
 
   # Also run Black on examples in the documentation
   - repo: https://github.com/asottile/blacken-docs
-    rev: "1.15.0"
+    rev: "1.16.0"
     hooks:
       - id: blacken-docs
         additional_dependencies:
@@ -64,13 +64,13 @@ repos:
 
   # Format configuration files with prettier
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: "v3.0.1"
+    rev: "v3.0.2"
     hooks:
       - id: prettier
         types_or: [yaml, markdown, html, css, javascript, json]
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.0.284
+    rev: v0.0.285
     hooks:
       - id: ruff
         args: ["--fix"]
@@ -82,7 +82,7 @@ repos:
       - id: nb-clean
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.5.0
+    rev: v1.5.1
     hooks:
       - id: mypy
         files: ^(src|tests|setup.py)

src/mqt/problemsolver/satellitesolver/algorithms.py

@@ -68,7 +68,7 @@ def solve_using_vqe(qubo: QuadraticProgram, noisy_flag: bool = False) -> Any:
 class VQE(qiskitVQE):  # type: ignore[misc]
     def __init__(self, VQE_params: dict[str, Any] | None = None) -> None:
         """Function which initializes the VQE class."""
-        if VQE_params is None or type(VQE_params) is not dict:
+        if VQE_params is None or not isinstance(VQE_params, dict):
             VQE_params = {}
         if VQE_params.get("optimizer") is None:
             VQE_params["optimizer"] = COBYLA(maxiter=1000)
@@ -89,7 +89,7 @@ def get_solution(self, qubo: QuadraticProgram) -> tuple[QuantumCircuit, MinimumE
 class QAOA(qiskitQAOA):  # type: ignore[misc]
     def __init__(self, QAOA_params: dict[str, Any] | None = None) -> None:
         """Function which initializes the QAOA class."""
-        if QAOA_params is None or type(QAOA_params) is not dict:
+        if QAOA_params is None or not isinstance(QAOA_params, dict):
             QAOA_params = {}
         if QAOA_params.get("optimizer") is None:
             QAOA_params["optimizer"] = COBYLA(maxiter=1000)
@@ -110,14 +110,15 @@ def get_solution(self, qubo: QuadraticProgram) -> tuple[QuantumCircuit, MinimumE
 class W_QAOA:
     def __init__(self, W_QAOA_params: dict[str, Any] | None = None, QAOA_params: dict[str, Any] | None = None) -> None:
         """Function which initializes the QAOA class."""
-        if type(W_QAOA_params) is not dict:
+
+        if not isinstance(W_QAOA_params, dict):
             W_QAOA_params = {}
         if W_QAOA_params.get("pre_solver") is None:
             W_QAOA_params["pre_solver"] = CobylaOptimizer()
         if W_QAOA_params.get("relax_for_pre_solver") is None:
             W_QAOA_params["relax_for_pre_solver"] = True
         if W_QAOA_params.get("qaoa") is None:
-            if type(QAOA_params) is not dict:
+            if not isinstance(QAOA_params, dict):
                 W_QAOA_params["qaoa"] = qiskitQAOA()
             else:
                 W_QAOA_params["qaoa"] = qiskitQAOA(**QAOA_params)