Fix tests

geometric-intelligence · May 25, 2024 · cfe150a · cfe150a
1 parent d57daff
commit cfe150a
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Showing 6 changed files with 143 additions and 1,601 deletions.
diff --git a/test/data/test_Dataloaders.py b/test/data/test_Dataloaders.py
@@ -38,7 +38,7 @@ def setup_method(self):
             "parameter_multiplication", lambda x, y: int(int(x) * int(y))
         )
 
-        initialize(version_base="1.3", config_path="../../configs", job_name="job")
+        initialize(version_base="1.3", config_path="../../configs") #, job_name="job")
         cfg = compose(config_name="train.yaml")
 
         graph_loader = hydra.utils.instantiate(cfg.dataset, _recursive_=False)

diff --git a/test/transforms/feature_liftings/test_ConcatenationLifting.py b/test/transforms/feature_liftings/test_ConcatenationLifting.py
@@ -1,4 +1,7 @@
 """Test the message passing module."""
+import sys
+sys.path.insert(0, '/Users/psh_1/Documents/[ Research ]/TopoBenchmarkX')
+
 
 import torch
 
@@ -19,17 +22,11 @@ def setup_method(self):
         self.data = manual_simple_graph()
 
         # Initialize a lifting class
-        self.lifting = SimplicialCliqueLifting(complex_dim=3)
-        # Initialize the ConcatentionLifting class
-        self.feature_lifting = ConcatentionLifting()
+        self.lifting = SimplicialCliqueLifting(feature_lifting="concatenation", complex_dim=3)
 
     def test_lift_features(self):
         # Test the lift_features method
         lifted_data = self.lifting.forward(self.data.clone())
-        del lifted_data.x_1
-        del lifted_data.x_2
-        del lifted_data.x_3
-        lifted_data = self.feature_lifting.forward(lifted_data)
 
         expected_x1 = torch.tensor(
             [
@@ -100,3 +97,9 @@ def test_lift_features(self):
         assert (
             expected_x3 == lifted_data.x_3
         ).all(), "Something is wrong with the lifted features x_3."
+
+
+if __name__ == "__main__":
+    t = TestConcatentionLifting()
+    t.setup_method()
+    t.test_lift_features()
diff --git a/test/transforms/feature_liftings/test_SetLifting.py b/test/transforms/feature_liftings/test_SetLifting.py
@@ -19,17 +19,12 @@ def setup_method(self):
         self.data = manual_simple_graph()
 
         # Initialize a lifting class
-        self.lifting = SimplicialCliqueLifting(complex_dim=3)
-        # Initialize the SetLifting class
-        self.feature_lifting = SetLifting()
+        self.lifting = SimplicialCliqueLifting(feature_lifting="set", complex_dim=3)
+
 
     def test_lift_features(self):
         # Test the lift_features method
         lifted_data = self.lifting.forward(self.data.clone())
-        del lifted_data.x_1
-        del lifted_data.x_2
-        del lifted_data.x_3
-        lifted_data = self.feature_lifting.forward(lifted_data)
 
         expected_x1 = torch.tensor(
             [

diff --git a/test/transforms/liftings/cell/test_CellCyclesLifting.py b/test/transforms/liftings/cell/test_CellCyclesLifting.py
@@ -22,126 +22,14 @@ def test_lift_topology(self):
 
         expected_incidence_1 = torch.tensor(
             [
-                [
-                    1.0,
-                    1.0,
-                    1.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    1.0,
-                    1.0,
-                    1.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    1.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    1.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                ],
+                [ 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], 
+                [ 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], 
+                [ 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 1.0, 1.0, 1.0, 0.0, 0.0, 0.0, ], 
+                [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, ], 
+                [ 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], 
+                [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 1.0, ], 
+                [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, ], 
+                [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, ],
             ]
         )
 

diff --git a/test/transforms/liftings/simplicial/test_SimplicialCliqueLifting.py b/test/transforms/liftings/simplicial/test_SimplicialCliqueLifting.py
@@ -27,131 +27,20 @@ def test_lift_topology(self):
         """Test the lift_topology method."""
 
         # Test the lift_topology method
+        print(self.data)
         lifted_data_signed = self.lifting_signed.forward(self.data.clone())
         lifted_data_unsigned = self.lifting_unsigned.forward(self.data.clone())
 
         expected_incidence_1 = torch.tensor(
             [
-                [
-                    -1.0,
-                    -1.0,
-                    -1.0,
-                    -1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    -1.0,
-                    -1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    -1.0,
-                    -1.0,
-                    -1.0,
-                    -1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    -1.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    -1.0,
-                    -1.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    1.0,
-                    0.0,
-                ],
-                [
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                    0.0,
-                    0.0,
-                    1.0,
-                ],
+                [ -1.0, -1.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], 
+                [ 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], 
+                [ 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, -1.0, -1.0, -1.0, -1.0, 0.0, 0.0, 0.0, ], 
+                [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, ], 
+                [ 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, ], 
+                [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -1.0, -1.0, ], 
+                [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, ], 
+                [ 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 1.0, ],
             ]
         )
 
@@ -213,19 +102,19 @@ def test_lifted_features_signed(self):
 
         expected_features_1 = torch.tensor(
             [
-                [4],
-                [9],
-                [99],
-                [4999],
-                [5],
-                [95],
-                [40],
-                [90],
-                [490],
-                [4990],
-                [950],
-                [500],
-                [4500],
+                [6.0], 
+                [11.0],
+                [101.0],
+                [5001.0],
+                [15.0],
+                [105.0],
+                [60.0],
+                [110.0],
+                [510.0],
+                [5010.0],
+                [1050.0],
+                [1500.0],
+                [5500.0],
             ]
         )
 
@@ -234,14 +123,14 @@ def test_lifted_features_signed(self):
         ).all(), "Something is wrong with x_1 features."
 
         expected_features_2 = torch.tensor(
-            [[0.0], [0.0], [0.0], [0.0], [0.0], [0.0]]
+            [[32.0], [212.0], [222.0], [10022.0], [230.0], [11020.0]]
         )
 
         assert (
             expected_features_2 == lifted_data.x_2
         ).all(), "Something is wrong with x_2 features."
 
-        excepted_features_3 = torch.tensor([[0.0]])
+        excepted_features_3 = torch.tensor([[696.0]])
 
         assert (
             excepted_features_3 == lifted_data.x_3