Add mne.preprocessing.unify_bad_channels

mne/preprocessing/unify_bads.py

@@ -0,0 +1,26 @@
+# %%
+def unifying_bads(
+    list_instances,
+):
+    common_bad_channels = []
+    # first check that each object is mne object
+
+    # then interate through the objects to get ch names as set
+    ch_set_1 = list_instances[0].info["bads"]
+    common_bad_channels.extend(ch_set_1)
+
+    for inst in list_instances[1:]:
+        ch_set_2 = set(inst.info["bads"])
+        set_of_bads = set(common_bad_channels)
+        new_bads = ch_set_2.difference(set_of_bads)
+
+        if len(new_bads) > 1:
+            common_bad_channels.extend(list(new_bads))
+
+    new_instances = []
+
+    for inst in list_instances:
+        inst.info["bads"] = common_bad_channels
+        new_instances.append(inst)
+
+    return new_instances