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Add mismatch case in test of arithmetic operators. #55

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hzhangxyz merged 1 commit into from
Aug 10, 2025
Merged

Add mismatch case in test of arithmetic operators. #55

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52 changes: 51 additions & 1 deletion tests/arithmetic_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,24 @@ def tensors(request: pytest.FixtureRequest) -> tuple[GrassmannTensor, GrassmannT
return request.param


@pytest.fixture(params=[
(
GrassmannTensor((False, False), ((2, 2), (1, 3)), torch.randn([4, 4])),
GrassmannTensor((False,), ((2, 2),), torch.randn([4])),
),
(
GrassmannTensor((True, False, True), ((1, 1), (2, 2), (3, 1)), torch.randn([2, 4, 4])),
GrassmannTensor((True, False, True), ((1, 2), (2, 2), (3, 1)), torch.randn([3, 4, 4])),
),
(
GrassmannTensor((True, True, False), ((1, 2), (2, 2), (3, 1)), torch.randn([3, 4, 4])),
GrassmannTensor((True, True, False, False), ((3, 2), (2, 2), (1, 1), (3, 1)), torch.randn([5, 4, 2, 4])),
),
])
def mismatch_tensors(request: pytest.FixtureRequest) -> tuple[GrassmannTensor, GrassmannTensor]:
return request.param


@pytest.fixture(params=[
torch.randn([]),
torch.randn([]).item(),
Expand Down Expand Up @@ -94,7 +112,7 @@ def __rtruediv__(self, other: typing.Any) -> FakeTensor:
[1, 2, 3], #list
{1, 2}, #set
object(), #arbitrary object
FakeTensor(), #a ill defined tensor-like object
FakeTensor(), #an ill defined tensor-like object
])
def test_arithmetic(unsupported_type: typing.Any, tensors: tuple[GrassmannTensor, GrassmannTensor], scalar: torch.Tensor | float) -> None:
tensor_a, tensor_b = tensors
Expand Down Expand Up @@ -196,3 +214,35 @@ def test_arithmetic(unsupported_type: typing.Any, tensors: tuple[GrassmannTensor
with pytest.raises(TypeError):
tensor_c = tensor_a.clone()
tensor_c /= unsupported_type


def test_arithmetic_fail(mismatch_tensors: tuple[GrassmannTensor, GrassmannTensor]) -> None:
tensor_a, tensor_b = mismatch_tensors

# Test __add__ method.
with pytest.raises(AssertionError):
tensor_a + tensor_b
with pytest.raises(AssertionError):
tensor_c = tensor_a.clone()
tensor_c += tensor_b

# Test __sub__ method.
with pytest.raises(AssertionError):
tensor_a - tensor_b
with pytest.raises(AssertionError):
tensor_c = tensor_a.clone()
tensor_c -= tensor_b

# Test __mul__ method.
with pytest.raises(AssertionError):
tensor_a * tensor_b
with pytest.raises(AssertionError):
tensor_c = tensor_a.clone()
tensor_c *= tensor_b

# Test __truediv__ method.
with pytest.raises(AssertionError):
tensor_a / tensor_b
with pytest.raises(AssertionError):
tensor_c = tensor_a.clone()
tensor_c /= tensor_b