FIX: Fix combine check

mne/stats/_adjacency.py

@@ -62,7 +62,7 @@ def combine_adjacency(*structure):
     structure = list(structure)
     for di, dim in enumerate(structure):
         name = f"structure[{di}]"
-        _validate_type(dim, ("int-like", np.ndarray, sparse.spmatrix), name)
+        _validate_type(dim, ("int-like", np.ndarray, "sparse"), name)
         if isinstance(dim, int_like):
             # Don't add the diagonal, because we explicitly remove it later
             dim = sparse.dia_array(

mne/stats/tests/test_cluster_level.py

@@ -18,6 +18,7 @@
 from scipy import linalg, sparse, stats
 
 from mne import MixedSourceEstimate, SourceEstimate, SourceSpaces, VolSourceEstimate
+from mne.fixes import _eye_array
 from mne.stats import combine_adjacency, ttest_ind_no_p
 from mne.stats.cluster_level import (
     f_oneway,
@@ -382,7 +383,7 @@ def test_cluster_permutation_with_adjacency(numba_conditional, monkeypatch):
             )
         )
         # nesting here is time then space:
-        adjacency_2a = combine_adjacency(np.eye(2), adjacency)
+        adjacency_2a = combine_adjacency(_eye_array(2), adjacency)
         assert_array_equal(
             adjacency_2.toarray().astype(bool), adjacency_2a.toarray().astype(bool)
         )

mne/utils/check.py

@@ -15,6 +15,7 @@
 from pathlib import Path
 
 import numpy as np
+from scipy import sparse
 
 from ..defaults import HEAD_SIZE_DEFAULT, _handle_default
 from ..fixes import _compare_version, _median_complex
@@ -533,13 +534,20 @@ def __instancecheck__(cls, other):
         return callable(other)
 
 
+class _Sparse:
+    @classmethod
+    def __instancecheck__(cls, other):
+        return sparse.issparse(other)
+
+
 _multi = {
     "str": (str,),
     "numeric": (np.floating, float, int_like),
     "path-like": path_like,
     "int-like": (int_like,),
     "callable": (_Callable(),),
     "array-like": (list, tuple, set, np.ndarray),
+    "sparse": (_Sparse(),),
 }
 
 

tutorials/stats-sensor-space/40_cluster_1samp_time_freq.py

@@ -44,6 +44,7 @@
 # %%
 # Set parameters
 # --------------
+
 data_path = sample.data_path()
 meg_path = data_path / "MEG" / "sample"
 raw_fname = meg_path / "sample_audvis_raw.fif"

tutorials/stats-sensor-space/75_cluster_ftest_spatiotemporal.py

@@ -20,7 +20,7 @@
 the possible interpretation of "significant" clusters.
 
 For more information on cluster-based permutation testing in MNE-Python,
-see also: :ref:`tut-cluster-one-samp-tfr`
+see also: :ref:`tut-cluster-one-samp-tfr`.
 """
 # Authors: Denis Engemann <[email protected]>
 #          Jona Sassenhagen <[email protected]>