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Consolidate member selection tests on EnsembleTensor
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‎test/test_ensemble.py‎

Lines changed: 0 additions & 53 deletions
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@@ -9,16 +9,6 @@
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from sdm import EnsembleTable, EnsembleTensor, TableTensor
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def test_tensor_member() -> None:
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group = torch.tensor([[1.0], [2.0]])
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ensemble = EnsembleTensor(
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groups=(group,),
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locations=((0, 1), (0, 0), (0, 1)),
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)
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torch.testing.assert_close(ensemble[0], group[1])
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def test_tensor_member_selection() -> None:
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first = torch.tensor([[1.0], [2.0], [3.0]])
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second = torch.tensor([[4.0]])
@@ -189,49 +179,6 @@ def test_gather_members_rejects_source_count_mismatch() -> None:
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)
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def test_getitem_preserves_groups_and_order() -> None:
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tables = tuple(
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TableTensor.from_tensor(torch.tensor([[value]], dtype=torch.float32))
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for value in range(3)
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)
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ensemble_table = EnsembleTable(
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groups=(cast(TableTensor, torch.stack(tables)),),
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locations=((0, 2), (0, 0), (0, 1), (0, 2)),
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)
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output = ensemble_table[1, 3, 0]
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assert len(output) == 3
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assert output.num_groups == 1
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assert next(output._iter_groups()).size(0) == 2
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assert output[0].equal(tables[0])
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assert output[1].equal(tables[2])
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assert output[2].equal(tables[2])
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output = ensemble_table[1:4:2]
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assert len(output) == 2
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assert output.num_groups == 1
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assert next(output._iter_groups()).size(0) == 2
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assert output[0].equal(tables[0])
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assert output[1].equal(tables[2])
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@pytest.mark.parametrize("member_ids", [(0, 2, 4), (4, 2, 0), (0, 3, 4)])
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def test_getitem_strided_members(member_ids: tuple[int, ...]) -> None:
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values = torch.arange(30).float().reshape(5, 3, 2)
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table = EnsembleTable(
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groups=(TableTensor.from_tensor(values),),
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locations=tuple((0, index) for index in range(5)),
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)
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selected = table[member_ids]
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assert len(selected) == len(member_ids)
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for position, index in enumerate(member_ids):
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torch.testing.assert_close(selected[position].numerical, values[index])
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def test_concatenate_columns_preserves_member_order() -> None:
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left = EnsembleTable.from_tables(
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tables=(

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