[github-action] formatting fixes

Author: github-actions[bot]

torchhd/functional.py

@@ -893,12 +893,13 @@ def multiset(input: Tensor) -> Tensor:
 
     return torch.sum(input, dim=dim, dtype=dtype)
 
+
 def randsel(
     input: Tensor, other: Tensor, *, p: float = 0.5, generator: torch.Generator = None
 ) -> Tensor:
     r"""Bundles two hypervectors by selecting random elements.
 
-    A bundling operation is used to aggregate information into a single hypervector. 
+    A bundling operation is used to aggregate information into a single hypervector.
     The resulting hypervector has elements selected at random from input or other.
 
     .. math::
@@ -979,6 +980,7 @@ def multirandsel(
     select.unsqueeze_(-2)
     return input.gather(-2, select).squeeze(-2)
 
+
 multibundle = multiset
 
 

torchhd/tests/test_operations.py

@@ -299,11 +299,15 @@ def test_value(self):
         generator.manual_seed(2147483644)
 
         x = functional.random_hv(4, 1000, generator=generator)
-        res = functional.multirandsel(x, p=torch.tensor([0.0,0.0,1.0,0.0]), generator=generator)
+        res = functional.multirandsel(
+            x, p=torch.tensor([0.0, 0.0, 1.0, 0.0]), generator=generator
+        )
         assert torch.all(x[2] == res)
 
         x = functional.random_hv(4, 1000, generator=generator)
-        res = functional.multirandsel(x, p=torch.tensor([0.5,0.0,0.5,0.0]), generator=generator)
+        res = functional.multirandsel(
+            x, p=torch.tensor([0.5, 0.0, 0.5, 0.0]), generator=generator
+        )
         assert torch.all((x[0] == res) | (x[2] == res))
 
         x = functional.random_hv(4, 1000, generator=generator)
@@ -325,4 +329,4 @@ def test_device(self):
         assert res.dtype == x.dtype
         assert res.dim() == 1
         assert res.size(0) == 100
-        assert res.device == device
+        assert res.device == device