infra: add the ruff perf plugin

examples/advanced_circuits_algorithms/Simons_Algorithm/Simons_Algorithm.ipynb

@@ -755,11 +755,7 @@
     "        + str(len(new_results.keys()))\n",
     "        + \" returned. Please rerun Simon's algorithm.\"\n",
     "    )\n",
-    "string_list = []\n",
-    "\n",
-    "for key in new_results.keys():\n",
-    "    #     if key!= \"0\"*n:\n",
-    "    string_list.append([int(c) for c in key])\n",
+    "string_list = [[int(c) for c in key] for key in new_results.keys()]\n",
     "\n",
     "print(\"The result in matrix form is :\")\n",
     "for a in string_list:\n",

examples/analog_hamiltonian_simulation/06_Analog_Hamiltonian_simulation_with_PennyLane.ipynb

@@ -60,9 +60,7 @@
     "# encouraged to try other values of atomic spacing!\n",
     "a = 6.1  # μm\n",
     "num_atoms = 9\n",
-    "coords = []\n",
-    "for k in range(num_atoms):\n",
-    "    coords.append([k * a, 0])\n",
+    "coords = [[k * a, 0] for k in range(num_atoms)]\n",
     "\n",
     "plt.figure(figsize=(5, 1))\n",
     "\n",

examples/analog_hamiltonian_simulation/09_Noisy_quantum_dynamics_for_Rydberg_atom_arrays.ipynb

@@ -591,9 +591,7 @@
     "    Returns:\n",
     "        erroneous_sites (list[list[float]]): A list of 2D erroneous coordinates\n",
     "    \"\"\"\n",
-    "    erroneous_sites = []\n",
-    "    for site in sites:\n",
-    "        erroneous_sites.append(site + site_position_error * np.random.normal(size=2))\n",
+    "    erroneous_sites = [site + site_position_error * np.random.normal(size=2) for site in sites]\n",
     "\n",
     "    return erroneous_sites"
    ]
@@ -927,7 +925,7 @@
     "        # Finally, put values into noisy_amplitude_values\n",
     "        for t in noisy_amplitude_times:\n",
     "            if t1 <= t and t <= t2:\n",
-    "                noisy_amplitude_values.append(a * t**2 + b * t + c)\n",
+    "                noisy_amplitude_values.append(a * t**2 + b * t + c)  # noqa: PERF401\n",
     "\n",
     "    # Next apply amplitude error\n",
     "    rabi_errors = 1 + rabi_error_rel * np.random.normal(size=len(noisy_amplitude_values))\n",

examples/braket_features/Noise_models/Noise_models_on_Rigetti.ipynb

@@ -208,7 +208,7 @@
     "            1 - data.oneQubitFidelity[1].fidelity\n",
     "        )  # SIMULTANEOUS_RANDOMIZED_BENCHMARKING\n",
     "        noise_model.add_noise(Depolarizing(probability=depolarizing_rate), GateCriteria(qubits=q))\n",
-    "    except:\n",
+    "    except:  # noqa: PERF203\n",
     "        pass"
    ]
   },

examples/hybrid_jobs/5_Parallelize_training_for_QML/qml_script/helper_funs.py

@@ -9,8 +9,7 @@ def read_csv_raw(fname):
     data = []
     with open(fname) as csvfile:
         readCSV = csv.reader(csvfile)
-        for row in readCSV:
-            data.append([r for r in row])
+        data = [[r for r in row] for row in readCSV]
 
     return data
 

pyproject.toml

@@ -83,6 +83,6 @@ line-length = 100
 lint.isort = { known-first-party = [
   "braket",
 ] }
-lint.extend-select = ["I"]
+lint.extend-select = ["I", "PERF"]
 lint.preview = true
 lint.ignore = ["E722"]

test/integ_tests/braket_features/Using_The_Adjoint_Gradient_Result_Type_mocks.py

@@ -9,13 +9,11 @@ def pre_run_inject(mock_utils):
     res1 = mock_utils.read_file("ag_results.json", __file__)
     res2 = mock_utils.read_file("ag_results_2.json", __file__)
     res3 = mock_utils.read_file("ag_results_3.json", __file__)
-    effects = []
-    for i in range(3):
-        effects.append(res1)
-    for i in range(51):
-        effects.append(res2)
-    for i in range(20):
-        effects.append(res3)
+
+    effects = [res1 for _ in range(3)]
+    effects.extend([res2 for _ in range(51)])
+    effects.extend([res3 for _ in range(20)])
+
     mocker.set_task_result_side_effect(effects)
     random.seed(42)
     np.random.seed(42)

test/integ_tests/test_all_notebooks.py

@@ -57,7 +57,7 @@
 for dir_, _, files in os.walk(examples_path):
     for file_name in files:
         if file_name.endswith(".ipynb") and ".ipynb_checkpoints" not in dir_:
-            test_notebooks.append((dir_, file_name))
+            test_notebooks.append((dir_, file_name))  # noqa: PERF401
 
 
 def get_mock_paths(notebook_dir, notebook_file):