chore: import upstream snapshot with attribution

2026-07-13 13:35:51 +08:00
commit c36a561cd8
2172 changed files with 455595 additions and 0 deletions
@@ -0,0 +1,45 @@
+import math
+import unittest
+
+import backend as F
+
+import dgl
+from utils import parametrize_idtype
+
+
+@unittest.skipIf(
+    dgl.backend.backend_name != "pytorch", reason="Only support PyTorch for now"
+)
+@parametrize_idtype
+def test_edge_label_informativeness(idtype):
+    # IfChangeThenChange: python/dgl/label_informativeness.py
+    # Update the docstring example.
+    device = F.ctx()
+    graph = dgl.graph(
+        ([0, 1, 2, 2, 3, 4], [1, 2, 0, 3, 4, 5]), idtype=idtype, device=device
+    )
+    y = F.tensor([0, 0, 0, 0, 1, 1])
+    assert math.isclose(
+        dgl.edge_label_informativeness(graph, y),
+        0.25177597999572754,
+        abs_tol=1e-6,
+    )
+
+
+@unittest.skipIf(
+    dgl.backend.backend_name != "pytorch", reason="Only support PyTorch for now"
+)
+@parametrize_idtype
+def test_node_label_informativeness(idtype):
+    # IfChangeThenChange: python/dgl/label_informativeness.py
+    # Update the docstring example.
+    device = F.ctx()
+    graph = dgl.graph(
+        ([0, 1, 2, 2, 3, 4], [1, 2, 0, 3, 4, 5]), idtype=idtype, device=device
+    )
+    y = F.tensor([0, 0, 0, 0, 1, 1])
+    assert math.isclose(
+        dgl.node_label_informativeness(graph, y),
+        0.3381872773170471,
+        abs_tol=1e-6,
+    )