fix: fix bugs in data structure

- fix bug when an empty list is passed into TextRegions.from_list
- fix bug when concatenating a list of `LayoutElements` the class id
  maps is not updated correctly

CHANGELOG.md

@@ -1,4 +1,11 @@
+## 0.8.2
+
+* fix: fix bug when an empty list is passed into `TextRegions.from_list` triggers `IndexError`
+* fix: fix bug when concatenate a list of `LayoutElements` the class id mapping is no properly
+  updated
+
 ## 0.8.1
+
 * fix: fix list index out of range error caused by calling LayoutElements.from_list() with empty list
 
 ## 0.8.0

test_unstructured_inference/test_elements.py

@@ -441,3 +441,31 @@ def test_layoutelements_to_list_and_back(test_layoutelements):
 def test_layoutelements_from_list_no_elements():
     back = LayoutElements.from_list(elements=[])
     assert back.source is None
+    assert back.element_coords.size == 0
+
+
+def test_textregions_from_list_no_elements():
+    back = TextRegions.from_list(regions=[])
+    assert back.source is None
+    assert back.element_coords.size == 0
+
+
+def test_layoutelements_concatenate():
+    layout1 = LayoutElements(
+        element_coords=np.array([[0, 0, 1, 1], [1, 1, 2, 2]]),
+        texts=np.array(["a", "two"]),
+        source=None,
+        element_class_ids=np.array([0, 1]),
+        element_class_id_map={0: "type0", 1: "type1"},
+    )
+    layout2 = LayoutElements(
+        element_coords=np.array([[10, 10, 2, 2], [20, 20, 1, 1]]),
+        texts=np.array(["three", "4"]),
+        source=None,
+        element_class_ids=np.array([0, 1]),
+        element_class_id_map={0: "type1", 1: "type2"},
+    )
+    joint = LayoutElements.concatenate([layout1, layout2])
+    assert joint.texts.tolist() == ["a", "two", "three", "4"]
+    assert joint.element_class_ids.tolist() == [0, 1, 1, 2]
+    assert joint.element_class_id_map == {0: "type0", 1: "type1", 2: "type2"}

unstructured_inference/__version__.py

@@ -1 +1 @@
-__version__ = "0.8.1"  # pragma: no cover
+__version__ = "0.8.2"  # pragma: no cover

unstructured_inference/inference/elements.py

@@ -244,7 +244,8 @@ def from_list(cls, regions: list):
         for region in regions:
             coords.append((region.bbox.x1, region.bbox.y1, region.bbox.x2, region.bbox.y2))
             texts.append(region.text)
-        return cls(element_coords=np.array(coords), texts=np.array(texts), source=regions[0].source)
+        source = regions[0].source if regions else None
+        return cls(element_coords=np.array(coords), texts=np.array(texts), source=source)
 
     def __len__(self):
         return self.element_coords.shape[0]

unstructured_inference/inference/layoutelement.py

@@ -74,22 +74,31 @@ def slice(self, indices) -> LayoutElements:
     def concatenate(cls, groups: Iterable[LayoutElements]) -> LayoutElements:
         """concatenate a sequence of LayoutElements in order as one LayoutElements"""
         coords, texts, probs, class_ids, sources = [], [], [], [], []
-        class_id_map = {}
+        class_id_reverse_map = {}
         for group in groups:
             coords.append(group.element_coords)
             texts.append(group.texts)
             probs.append(group.element_probs)
-            class_ids.append(group.element_class_ids)
             if group.source:
                 sources.append(group.source)
+
+            idx = group.element_class_ids.copy()
             if group.element_class_id_map:
-                class_id_map.update(group.element_class_id_map)
+                for class_id, class_name in group.element_class_id_map.items():
+                    if class_name in class_id_reverse_map:
+                        idx[group.element_class_ids == class_id] = class_id_reverse_map[class_name]
+                        continue
+                    new_id = len(class_id_reverse_map)
+                    class_id_reverse_map[class_name] = new_id
+                    idx[group.element_class_ids == class_id] = new_id
+            class_ids.append(idx)
+
         return cls(
             element_coords=np.concatenate(coords),
             texts=np.concatenate(texts),
             element_probs=np.concatenate(probs),
             element_class_ids=np.concatenate(class_ids),
-            element_class_id_map=class_id_map,
+            element_class_id_map={v: k for k, v in class_id_reverse_map.items()},
             source=sources[0] if sources else None,
         )