diff --git a/docs/notebooks b/docs/notebooks
index 7eb7e637ec..5a8123cd4b 160000
--- a/docs/notebooks
+++ b/docs/notebooks
@@ -1 +1 @@
-Subproject commit 7eb7e637ec1cc3b14c462adcc67597345a945fa3
+Subproject commit 5a8123cd4b3fd1a816dc9c2acfe4b6de619fe7c4
diff --git a/tests/test_plugins/test_component_modeler.py b/tests/test_plugins/test_component_modeler.py
index 35f811dfac..a513184ee8 100644
--- a/tests/test_plugins/test_component_modeler.py
+++ b/tests/test_plugins/test_component_modeler.py
@@ -12,18 +12,6 @@
 )
 from tidy3d.exceptions import SetupError, Tidy3dKeyError
 from ..utils import run_emulated
-from ..test_web.test_webapi import (
-    mock_upload,
-    mock_metadata,
-    mock_get_info,
-    mock_start,
-    mock_monitor,
-    mock_download,
-    mock_load,
-    mock_job_status,
-    mock_load,
-    set_api_key,
-)
 
 # Waveguide height
 wg_height = 0.22
@@ -402,7 +390,7 @@ def test_import_smatrix_smatrix():
 
 def test_to_from_file_batch(monkeypatch, tmp_path):
     modeler = make_component_modeler(path_dir=str(tmp_path))
-    s_matrix = run_component_modeler(monkeypatch, modeler)
+    _ = run_component_modeler(monkeypatch, modeler)
 
     batch = td.web.Batch(simulations=dict())
 
diff --git a/tests/test_plugins/test_invdes.py b/tests/test_plugins/test_invdes.py
index 9bd505d0dd..8a06a08044 100644
--- a/tests/test_plugins/test_invdes.py
+++ b/tests/test_plugins/test_invdes.py
@@ -9,15 +9,11 @@
 import tidy3d as td
 import tidy3d.plugins.adjoint as tda
 import tidy3d.plugins.invdes as tdi
-import matplotlib.pyplot as plt
 
 # use single threading pipeline
 from . import test_adjoint as ta
 
-ta.NUM_PROC_PARALLEL = 1
-
-from .test_adjoint import use_emulated_run, use_emulated_run_async
-from ..utils import run_emulated, log_capture, assert_log_level, AssertLogLevel
+from ..utils import run_emulated, assert_log_level, AssertLogLevel
 
 FREQ0 = 1e14
 L_SIM = 1.0
@@ -25,6 +21,8 @@
 MNT_NAME2 = "mnt_name2"
 HISTORY_FNAME = "tests/data/invdes_history.pkl"
 
+ta.NUM_PROC_PARALLEL = 1
+
 mnt1 = td.FieldMonitor(
     center=(L_SIM / 3.0, 0, 0), size=(0, td.inf, td.inf), freqs=[FREQ0], name=MNT_NAME1
 )
@@ -72,10 +70,10 @@ def test_region_params():
 
     design_region = make_design_region()
 
-    PARAMS_0 = np.random.random(design_region.params_shape)
-    PARAMS_0 = design_region.params_random
-    PARAMS_0 = design_region.params_ones
-    PARAMS_0 = design_region.params_zeros
+    _ = np.random.random(design_region.params_shape)
+    _ = design_region.params_random
+    _ = design_region.params_ones
+    _ = design_region.params_zeros
 
 
 def test_region_penalties():
@@ -287,7 +285,7 @@ def test_invdes_multi_same_length():
     output_monitor_names = [([MNT_NAME1, MNT_NAME2], None)[i % 2] for i in range(n)]
     invdes = invdes.updated_copy(output_monitor_names=output_monitor_names)
 
-    ds = invdes.designs
+    _ = invdes.designs
 
 
 def make_optimizer():
@@ -316,7 +314,7 @@ def test_default_params(use_emulated_run):
 
     optimizer = make_optimizer()
 
-    PARAMS_0 = np.random.random(optimizer.design.design_region.params_shape)
+    _ = np.random.random(optimizer.design.design_region.params_shape)
 
     optimizer.run()
 
@@ -366,7 +364,7 @@ def test_result_store_full_results_is_false(use_emulated_run):
         assert len(result.history[key]) == optimizer.num_steps
 
     # this should still work, even if ``store_full_results == False``
-    val_last1 = result.last["params"]
+    _ = result.last["params"]
 
 
 def test_continue_run_fns(use_emulated_run):
@@ -411,21 +409,21 @@ def test_result(use_emulated_run, use_emulated_run_async, tmp_path):
     assert np.allclose(val_last1, val_last2)
 
     result.plot_optimization()
-    sim_data_last = result.sim_data_last(task_name="last")
+    _ = result.sim_data_last(task_name="last")
 
 
 def test_result_data(use_emulated_run):
     """Test methods of the ``InverseDesignResult`` object."""
 
     result = make_result(use_emulated_run)
-    sim_last = result.sim_last
-    sim_data_last = result.sim_data_last(task_name="last")
+    _ = result.sim_last
+    _ = result.sim_data_last(task_name="last")
 
 
 def test_result_data_multi(use_emulated_run_async, tmp_path):
     result_multi = make_result_multi(use_emulated_run_async)
-    sim_last = result_multi.sim_last
-    sim_data_last = result_multi.sim_data_last(task_name="last")
+    _ = result_multi.sim_last
+    _ = result_multi.sim_data_last(task_name="last")
 
 
 def test_result_empty():
@@ -496,8 +494,6 @@ def test_jax_array_impl_import_pass(tmp_path, log_capture):
 def test_fn_source_error(monkeypatch, exception, ok):
     """Make sure type errors are caught when grabbing function source code."""
 
-    import inspect
-
     def getsource_error(*args, **kwargs):
         raise exception