dev(hansbug): update runs script

.github/workflows/run.yml

@@ -56,7 +56,7 @@ jobs:
           CI: 'true'
           LINETRACE: 1
         run: |
-          make clean build run
+          make run
       - name: Show the artifacts
         run: |
           tree runs/artifacts

runs/test_main.py

 import treetensor.torch as torch
 
-if __name__ == '__main__':
-    # create a tree tensor
-    t = torch.randn({
-        'a': (6, 2, 3),
-        'b': {'x': (6, 3), 'y': (6, 1, 4)},
-    })
+# create a tree tensor
+t = torch.randn({
+    'a': (6, 2, 3),
+    'b': {'x': (6, 3), 'y': (6, 1, 4)},
+})
 
-    # structural operation
-    print(torch.stack([t, t, t]))
-    print(torch.cat([t, t, t]))
-    print(torch.split(t, (1, 2, 3)))
+# structural operation
+print(torch.stack([t, t, t]))
+print(torch.cat([t, t, t]))
+print(torch.split(t, (1, 2, 3)))
 
-    # math calculations
-    print(t ** 2)
-    print(torch.sin(t).cos())
+# math calculations
+print(t ** 2)
+print(torch.sin(t).cos())

runs/test_plain.py

 import torch
 
-if __name__ == '__main__':
-    # create a native tensor
-    t = torch.randn((6, 2, 3))
+# create a native tensor
+t = torch.randn((6, 2, 3))
 
-    # structural operation
-    print(torch.stack([t, t, t]))
-    print(torch.cat([t, t, t]))
-    print(torch.split(t, (1, 2, 3)))
+# structural operation
+print(torch.stack([t, t, t]))
+print(torch.cat([t, t, t]))
+print(torch.split(t, (1, 2, 3)))
 
-    # math calculations
-    print(t ** 2)
-    print(torch.sin(t).cos())
+# math calculations
+print(t ** 2)
+print(torch.sin(t).cos())