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[Code Coverage] transforms/add_self_loops.py #6668

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merged 6 commits into from
Feb 12, 2023
Merged

[Code Coverage] transforms/add_self_loops.py #6668

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9e71725
Add test for self loops with empty Data
shhs29 Feb 10, 2023
0a4d435
Merge branch 'master' into add-test-for-self-loops
shhs29 Feb 10, 2023
d9a85ab
Update CHANGELOG.md
shhs29 Feb 10, 2023
3127f5d
Update test/transforms/test_add_self_loops.py
wsad1 Feb 11, 2023
c71723b
Merge branch 'master' into add-test-for-self-loops
wsad1 Feb 11, 2023
85f4d62
Merge branch 'master' into add-test-for-self-loops
shhs29 Feb 11, 2023
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2 changes: 1 addition & 1 deletion CHANGELOG.md
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Expand Up @@ -81,7 +81,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).

- Fixed a bug in `Data.subgraph()` and `HeteroData.subgraph()` ([#6613](https://github.com/pyg-team/pytorch_geometric/pull/6613)
- Fixed a bug in `PNAConv` and `DegreeScalerAggregation` to correctly incorporate degree statistics of isolated nodes ([#6609](https://github.com/pyg-team/pytorch_geometric/pull/6609))
- Improved code coverage ([#6523](https://github.com/pyg-team/pytorch_geometric/pull/6523), [#6538](https://github.com/pyg-team/pytorch_geometric/pull/6538), [#6555](https://github.com/pyg-team/pytorch_geometric/pull/6555), [#6558](https://github.com/pyg-team/pytorch_geometric/pull/6558), [#6568](https://github.com/pyg-team/pytorch_geometric/pull/6568), [#6573](https://github.com/pyg-team/pytorch_geometric/pull/6573), [#6578](https://github.com/pyg-team/pytorch_geometric/pull/6578), [#6597](https://github.com/pyg-team/pytorch_geometric/pull/6597), [#6600](https://github.com/pyg-team/pytorch_geometric/pull/6600), [#6618](https://github.com/pyg-team/pytorch_geometric/pull/6618), [#6619](https://github.com/pyg-team/pytorch_geometric/pull/6619), [#6621](https://github.com/pyg-team/pytorch_geometric/pull/6621), [#6623](https://github.com/pyg-team/pytorch_geometric/pull/6623), [#6637](https://github.com/pyg-team/pytorch_geometric/pull/6637), [#6638](https://github.com/pyg-team/pytorch_geometric/pull/6638), [#6640](https://github.com/pyg-team/pytorch_geometric/pull/6640), [#6645](https://github.com/pyg-team/pytorch_geometric/pull/6645), [#6648](https://github.com/pyg-team/pytorch_geometric/pull/6648), [#6647](https://github.com/pyg-team/pytorch_geometric/pull/6647), [#6657](https://github.com/pyg-team/pytorch_geometric/pull/6657), [#6664](https://github.com/pyg-team/pytorch_geometric/pull/6664))
- Improved code coverage ([#6523](https://github.com/pyg-team/pytorch_geometric/pull/6523), [#6538](https://github.com/pyg-team/pytorch_geometric/pull/6538), [#6555](https://github.com/pyg-team/pytorch_geometric/pull/6555), [#6558](https://github.com/pyg-team/pytorch_geometric/pull/6558), [#6568](https://github.com/pyg-team/pytorch_geometric/pull/6568), [#6573](https://github.com/pyg-team/pytorch_geometric/pull/6573), [#6578](https://github.com/pyg-team/pytorch_geometric/pull/6578), [#6597](https://github.com/pyg-team/pytorch_geometric/pull/6597), [#6600](https://github.com/pyg-team/pytorch_geometric/pull/6600), [#6618](https://github.com/pyg-team/pytorch_geometric/pull/6618), [#6619](https://github.com/pyg-team/pytorch_geometric/pull/6619), [#6621](https://github.com/pyg-team/pytorch_geometric/pull/6621), [#6623](https://github.com/pyg-team/pytorch_geometric/pull/6623), [#6637](https://github.com/pyg-team/pytorch_geometric/pull/6637), [#6638](https://github.com/pyg-team/pytorch_geometric/pull/6638), [#6640](https://github.com/pyg-team/pytorch_geometric/pull/6640), [#6645](https://github.com/pyg-team/pytorch_geometric/pull/6645), [#6648](https://github.com/pyg-team/pytorch_geometric/pull/6648), [#6647](https://github.com/pyg-team/pytorch_geometric/pull/6647), [#6657](https://github.com/pyg-team/pytorch_geometric/pull/6657), [#6664](https://github.com/pyg-team/pytorch_geometric/pull/6664), [#6668](https://github.com/pyg-team/pytorch_geometric/pull/6668))
- Fixed a bug in which `data.to_heterogeneous()` filtered attributs in the wrong dimension ([#6522](https://github.com/pyg-team/pytorch_geometric/pull/6522))
- Breaking Change: Temporal sampling will now also sample nodes with an equal timestamp to the seed time (requires `pyg-lib>0.1.0`) ([#6517](https://github.com/pyg-team/pytorch_geometric/pull/6517))
- Changed `DataLoader` workers with affinity to start at `cpu0` ([#6512](https://github.com/pyg-team/pytorch_geometric/pull/6512))
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4 changes: 4 additions & 0 deletions test/transforms/test_add_self_loops.py
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Expand Up @@ -11,6 +11,10 @@ def test_add_self_loops():
edge_weight = torch.tensor([1, 2, 3, 4])
edge_attr = torch.tensor([[1, 2], [3, 4], [5, 6], [7, 8]])

data = Data()
data = AddSelfLoops()(data)
assert len(data) == 0
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data = Data(edge_index=edge_index, num_nodes=3)
data = AddSelfLoops()(data)
assert len(data) == 2
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