MAINT: Fix doc build failure due to deprecation (#13299)

Author: larsoner

doc/sphinxext/mne_doc_utils.py

@@ -67,6 +67,8 @@ def reset_warnings(gallery_conf, fname):
         "\nImplementing implicit namespace packages",
         # latexcodec
         r"open_text is deprecated\. Use files",
+        # dipy etc.
+        "The `disp` and `iprint` options of the L-BFGS-B solver",
     ):
         warnings.filterwarnings(  # deal with other modules having bad imports
             "ignore", message=f".*{key}.*", category=DeprecationWarning

examples/inverse/morph_volume_stc.py

@@ -6,10 +6,9 @@
 ================================
 
 This example demonstrates how to morph an individual subject's
-:class:`mne.VolSourceEstimate` to a common reference space. We achieve this
-using :class:`mne.SourceMorph`. Data will be morphed based on
-an affine transformation and a nonlinear registration method
-known as Symmetric Diffeomorphic Registration (SDR) by
+:class:`mne.VolSourceEstimate` to a common reference space. We achieve this using
+:class:`mne.SourceMorph`. Data will be morphed based on an affine transformation and
+a nonlinear registration method known as Symmetric Diffeomorphic Registration (SDR) by
 :footcite:`AvantsEtAl2008`.
 
 Transformation is estimated from the subject's anatomical T1 weighted MRI
@@ -139,7 +138,7 @@
 )
 
 # Add functional data as overlay
-display.add_overlay(img_fsaverage, alpha=0.75)
+display.add_overlay(img_fsaverage, transparency=0.75)
 
 
 # %%

mne/utils/tests/test_config.py

@@ -20,6 +20,7 @@
 from mne.utils import (
     ClosingStringIO,
     _get_stim_channel,
+    _record_warnings,
     get_config,
     get_config_path,
     get_subjects_dir,
@@ -265,7 +266,8 @@ def _worker_update_config_loop(home_dir, worker_id, iterations=10):
         new_key = f"worker_{worker_id}_{i}"
         new_value = f"value_{worker_id}_{i}"
         # Update the configuration (our set_config holds the lock over the full cycle)
-        set_config(new_key, new_value, home_dir=home_dir)
+        with _record_warnings():  # ignore non-standard key warning
+            set_config(new_key, new_value, home_dir=home_dir)
         time.sleep(random.uniform(0, 0.05))
     return worker_id
 

tutorials/inverse/50_beamformer_lcmv.py

@@ -38,8 +38,7 @@
 # Frequency-resolved data can be reconstructed with the dynamic imaging of
 # coherent sources (DICS) beamforming method :footcite:`GrossEtAl2001`.
 # As we will see in the following, the spatial filter is computed from two
-# ingredients: the forward model solution and the covariance matrix of the
-# data.
+# ingredients: the forward model solution and the covariance matrix of the data.
 
 # %%
 # Data processing