Fix CircleCI

doc/sphinxext/mne_doc_utils.py

@@ -4,6 +4,7 @@
 # License: BSD-3-Clause
 # Copyright the MNE-Python contributors.
 
+import functools
 import gc
 import os
 import time
@@ -17,9 +18,7 @@
 
 import mne
 from mne.utils import (
-    _assert_no_instances as _assert_no_instances_mne,
-)
-from mne.utils import (
+    _assert_no_instances,
     _get_extra_data_path,
     sizeof_fmt,
 )
@@ -123,14 +122,20 @@ def reset_warnings(gallery_conf, fname):
 t0 = time.time()
 
 
-def _assert_no_instances(cls, when):
+def _reraise_extension_error(func):
     """Wrap our internal one but make the traceback nicer when it fails."""
-    try:
-        _assert_no_instances_mne(cls, when)
-    except Exception as exc:
-        raise ExtensionError(str(exc)) from None
+
+    @functools.wraps(func)
+    def _wrapper(gallery_conf, fname, when):
+        try:
+            return func(gallery_conf, fname, when)
+        except Exception:
+            raise ExtensionError(f"{func.__name__} failed: {when=}, {fname=}")
+
+    return _wrapper
 
 
+@_reraise_extension_error
 def reset_modules(gallery_conf, fname, when):
     """Do the reset."""
     import matplotlib.pyplot as plt

tutorials/epochs/60_make_fixed_length_epochs.py

@@ -16,15 +16,6 @@
 epochs by segmenting the data around the onset of each stimulus, we will
 create 30 second epochs that allow us to perform non-event-related analyses of
 the signal.
-
-.. note::
-    Starting in version 1.0, all functions in the ``mne.connectivity``
-    sub-module are housed in a separate package called
-    :mod:`mne-connectivity <mne_connectivity>`. Download it by  running:
-
-    .. code-block:: console
-
-        $ pip install mne-connectivity
 """
 
 # Authors: The MNE-Python contributors.

tutorials/evoked/10_evoked_overview.py

@@ -58,9 +58,8 @@
 # :class:`~mne.Epochs` object, but may also be initiated (or disabled)
 # manually. We will discuss this in more detail later.
 #
-# The information about the baseline period of :class:`~mne.Epochs` is
-# transferred to derived :class:`~mne.Evoked` objects to maintain provenance as
-# you process your data:
+# The information about the baseline period of :class:`~mne.Epochs` is transferred to
+# derived :class:`~mne.Evoked` objects to maintain provenance as you process your data:
 
 print(f"Epochs baseline: {epochs.baseline}")
 print(f"Evoked baseline: {evoked.baseline}")