suppress opflow deprecation of a legacy test

qiskit-community · Apr 26, 2023 · 078ab0b · 078ab0b
1 parent b5870a6
commit 078ab0b
Show file tree

Hide file tree

Showing 7 changed files with 29 additions and 22 deletions.
diff --git a/qiskit_optimization/algorithms/grover_optimizer.py b/qiskit_optimization/algorithms/grover_optimizer.py
@@ -1,6 +1,6 @@
 # This code is part of Qiskit.
 #
-# (C) Copyright IBM 2020, 2022.
+# (C) Copyright IBM 2020, 2023.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory

diff --git a/qiskit_optimization/algorithms/optimization_algorithm.py b/qiskit_optimization/algorithms/optimization_algorithm.py
@@ -1,6 +1,6 @@
 # This code is part of Qiskit.
 #
-# (C) Copyright IBM 2020, 2022.
+# (C) Copyright IBM 2020, 2023.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory

diff --git a/qiskit_optimization/applications/optimization_application.py b/qiskit_optimization/applications/optimization_application.py
@@ -1,6 +1,6 @@
 # This code is part of Qiskit.
 #
-# (C) Copyright IBM 2018, 2022.
+# (C) Copyright IBM 2018, 2023.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory

diff --git a/qiskit_optimization/runtime/vqe_client.py b/qiskit_optimization/runtime/vqe_client.py
@@ -13,6 +13,7 @@
 """The Qiskit Optimization VQE Runtime Client."""
 
 
+import warnings
 from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
@@ -79,7 +80,9 @@ def __init__(
                 "here: https://qisk.it/algo_migration#vqe"
             ),
         )
-        super().__init__()
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore")
+            super().__init__()
         if optimizer is None:
             optimizer = SPSA(maxiter=300)
 

diff --git a/test/algorithms/legacy/test_min_eigen_optimizer.py b/test/algorithms/legacy/test_min_eigen_optimizer.py
@@ -108,7 +108,8 @@ def test_min_eigen_optimizer(self, config):
             # get minimum eigen solver
             min_eigen_solver = self.min_eigen_solvers[min_eigen_solver_name]
             if backend:
-                min_eigen_solver.quantum_instance = BasicAer.get_backend(backend)
+                with self.assertWarns(DeprecationWarning):
+                    min_eigen_solver.quantum_instance = BasicAer.get_backend(backend)
 
             # construct minimum eigen optimizer
             min_eigen_optimizer = MinimumEigenOptimizer(min_eigen_solver)
@@ -379,26 +380,29 @@ def test_runtime(self, subroutine):
         if subroutine == "vqe":
             ry_ansatz = TwoLocal(5, "ry", "cz", reps=3, entanglement="full")
             initial_point = np.random.default_rng(42).random(ry_ansatz.num_parameters)
-            solver = VQEClient(
-                ansatz=ry_ansatz,
-                optimizer=optimizer,
-                initial_point=initial_point,
-                backend=backend,
-                provider=FakeVQERuntimeProvider(),
-            )
+            with self.assertWarns(DeprecationWarning):
+                solver = VQEClient(
+                    ansatz=ry_ansatz,
+                    optimizer=optimizer,
+                    initial_point=initial_point,
+                    backend=backend,
+                    provider=FakeVQERuntimeProvider(),
+                )
         else:
             reps = 2
             initial_point = np.random.default_rng(42).random(2 * reps)
-            solver = QAOAClient(
-                optimizer=optimizer,
-                reps=reps,
-                initial_point=initial_point,
-                backend=backend,
-                provider=FakeQAOARuntimeProvider(),
-            )
+            with self.assertWarns(DeprecationWarning):
+                solver = QAOAClient(
+                    optimizer=optimizer,
+                    reps=reps,
+                    initial_point=initial_point,
+                    backend=backend,
+                    provider=FakeQAOARuntimeProvider(),
+                )
 
         opt = MinimumEigenOptimizer(solver)
-        result = opt.solve(self.op_ordering)
+        with self.assertWarns(DeprecationWarning):
+            result = opt.solve(self.op_ordering)
         self.assertIsInstance(result, MinimumEigenOptimizationResult)
 
 

diff --git a/test/algorithms/test_grover_optimizer.py b/test/algorithms/test_grover_optimizer.py
@@ -1,6 +1,6 @@
 # This code is part of Qiskit.
 #
-# (C) Copyright IBM 2020, 2022.
+# (C) Copyright IBM 2020, 2023.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory

diff --git a/test/problems/test_quadratic_program.py b/test/problems/test_quadratic_program.py
@@ -1,6 +1,6 @@
 # This code is part of Qiskit.
 #
-# (C) Copyright IBM 2020, 2022.
+# (C) Copyright IBM 2020, 2023.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory