Support unsorted bounds

src/ess/reduce/live/roi.py

@@ -29,7 +29,8 @@ def select_indices_in_intervals(
         indices will be returned concatenated into a dense array.
     """
     out_dim = 'index'
-    for dim, (low, high) in intervals.items():
+    for dim, bounds in intervals.items():
+        low, high = sorted(bounds)
         indices = indices[dim, low:high]
     indices = indices.flatten(to=out_dim)
     if indices.bins is None:

tests/live/roi_test.py

@@ -35,6 +35,16 @@ def test_select_indices_label_based_indexing(binned_indices):
     assert selected.sizes[selected.dim] < binned_indices.bins.size().sum().value
 
 
+def test_select_indices_label_based_indexing_reverse_order(binned_indices):
+    selected = roi.select_indices_in_intervals(
+        intervals=sc.DataGroup(x=(sc.scalar(0.5, unit='m'), sc.scalar(0.3, unit='m'))),
+        indices=binned_indices,
+    )
+    assert selected.dim == 'index'
+    assert selected.sizes[selected.dim] > 0
+    assert selected.sizes[selected.dim] < binned_indices.bins.size().sum().value
+
+
 def test_select_indices_fails_with_invalid_dimension():
     data = sc.data.table_xyz(10)
     with pytest.raises(sc.DimensionError):