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Add more tests for creation of Grassmann tensor. #50

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Merged
hzhangxyz merged 1 commit into from
Aug 10, 2025
Merged

Add more tests for creation of Grassmann tensor. #50

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41 changes: 36 additions & 5 deletions tests/creation_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,12 +2,43 @@
import torch
from grassmann_tensor import GrassmannTensor

Initialization = tuple[tuple[bool, ...], tuple[tuple[int, int], ...], torch.Tensor]

def test_creation() -> None:
x = GrassmannTensor((False, False), ((2, 2), (1, 3)), torch.randn([4, 4]))

@pytest.mark.parametrize("x", [
((False, False), ((2, 2), (1, 3)), torch.randn([4, 4])),
((True, False), ((2, 2), (3, 1)), torch.randn([4, 4])),
((False, True, False), ((1, 1), (2, 2), (1, 1)), torch.randn([2, 4, 2])),
])
def test_creation_success(x: Initialization) -> None:
GrassmannTensor(*x)


@pytest.mark.parametrize("x", [
((False,), ((2, 2), (1, 3)), torch.randn([4, 4])),
((True, False, True), ((2, 2), (3, 1)), torch.randn([4, 4])),
((False, True), ((1, 1), (2, 2), (1, 1)), torch.randn([2, 4, 2])),
])
def test_creation_invalid_arrow(x: Initialization) -> None:
with pytest.raises(AssertionError):
x = GrassmannTensor((False, False, False), ((2, 2), (1, 3)), torch.randn([4, 4]))
GrassmannTensor(*x)


@pytest.mark.parametrize("x", [
((False, False), ((2, 2),), torch.randn([4, 4])),
((True, False), ((2, 2), (1, 1), (3, 1)), torch.randn([4, 4])),
((False, True, False), ((1, 1), (1, 1)), torch.randn([2, 4, 2])),
])
def test_creation_invalid_edges(x: Initialization) -> None:
with pytest.raises(AssertionError):
x = GrassmannTensor((False, False), ((2, 2), (1, 3), (3, 1)), torch.randn([4, 4]))
GrassmannTensor(*x)


@pytest.mark.parametrize("x", [
((False, False), ((2, 2), (1, 3)), torch.randn([4, 2])),
((True, False), ((2, 2), (3, 1)), torch.randn([2, 4])),
((False, True, False), ((1, 1), (2, 2), (1, 1)), torch.randn([4, 4, 2])),
])
def test_creation_invalid_shape(x: Initialization) -> None:
with pytest.raises(AssertionError):
x = GrassmannTensor((False, False), ((2, 2), (1, 1)), torch.randn([4, 4]))
GrassmannTensor(*x)