Prepare 0.104.5

doc/releases/0.104.5.rst

@@ -0,0 +1,16 @@
+.. _release0.104.5:
+
+SpikeInterface 0.104.5 release notes
+------------------------------------
+
+June 12th 2026
+
+Minor release with bug fixes
+
+core:
+
+* Propagate ``self.tmp_data_to_save`` when selecting units in ``BaseMeticExtension`` (#4616)
+
+Contributors:
+
+* @alejoe91

doc/whatisnew.rst

@@ -8,6 +8,8 @@ Release notes
 .. toctree::
   :maxdepth: 1
 
+  releases/0.104.5.rst
+  releases/0.104.4.rst
   releases/0.104.3.rst
   releases/0.104.2.rst
   releases/0.104.1.rst
@@ -55,6 +57,10 @@ Release notes
   releases/0.9.9.rst
   releases/0.9.1.rst
 
+Version 0.104.5
+===============
+
+* Minor release with bug fixes
 
 Version 0.104.4
 ===============

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "spikeinterface"
-version = "0.104.4"
+version = "0.104.5"
 authors = [
   { name="Alessio Buccino", email="alessiop.buccino@gmail.com" },
   { name="Samuel Garcia", email="sam.garcia.die@gmail.com" },

src/spikeinterface/core/analyzer_extension_core.py

@@ -1360,8 +1360,22 @@ def _select_extension_data(self, unit_ids: list[int | str]):
         dict
             Dictionary containing the selected metrics DataFrame.
         """
+        import pandas as pd
+
+        new_data = dict()
         new_metrics = self.data["metrics"].loc[np.array(unit_ids)]
-        return dict(metrics=new_metrics)
+        new_data["metrics"] = new_metrics
+        if self.tmp_data_to_save is not None:
+            for k in self.tmp_data_to_save:
+                old_data = self.data[k]
+                if isinstance(old_data, pd.DataFrame):
+                    new_df = old_data.loc[np.array(unit_ids)]
+                    new_data[k] = new_df
+                elif isinstance(old_data, np.ndarray):
+                    old_arr = self.data[k]
+                    new_arr = old_arr[self.sorting_analyzer.sorting.ids_to_indices(unit_ids), ...]
+                    new_data[k] = new_arr
+        return new_data
 
     def _merge_extension_data(
         self,