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Dev Update (#582)

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* Fix adaptive refinement (#571)


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Co-authored-by: Dario Coscia <93731561+dario-coscia@users.noreply.github.com>

* Remove collector

* Fixes

* Fixes

* rm unnecessary comment

* fix advection (#581)

* Fix tutorial .html link (#580)

* fix problem data collection for v0.1 (#584)

* Message Passing Module (#516)

* add deep tensor network block

* add interaction network block

* add radial field network block

* add schnet block

* add equivariant network block

* fix + tests + doc files

* fix egnn + equivariance/invariance tests

Co-authored-by: Dario Coscia <dariocos99@gmail.com>

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Co-authored-by: giovanni <giovanni.canali98@yahoo.it>
Co-authored-by: AleDinve <giuseppealessio.d@student.unisi.it>

* add type checker (#527)

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Co-authored-by: Filippo Olivo <filippo@filippoolivo.com>
Co-authored-by: Giovanni Canali <115086358+GiovanniCanali@users.noreply.github.com>
Co-authored-by: giovanni <giovanni.canali98@yahoo.it>
Co-authored-by: AleDinve <giuseppealessio.d@student.unisi.it>
This commit is contained in:
Dario Coscia
2025-06-13 17:34:37 +02:00
committed by GitHub
parent 6b355b45de
commit 7bf7d34d0f
40 changed files with 1963 additions and 581 deletions
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32
tests/test_utils.py
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@@ -1,12 +1,9 @@
import torch
from pina.utils import merge_tensors
from pina.label_tensor import LabelTensor
from pina import LabelTensor
from pina.domain import EllipsoidDomain, CartesianDomain
from pina.utils import check_consistency
import pytest
from pina.domain import DomainInterface
from pina import LabelTensor
from pina.utils import merge_tensors, check_consistency, check_positive_integer
from pina.domain import EllipsoidDomain, CartesianDomain, DomainInterface
def test_merge_tensors():
@@ -50,3 +47,24 @@ def test_check_consistency_incorrect():
check_consistency(torch.Tensor, DomainInterface, subclass=True)
with pytest.raises(ValueError):
check_consistency(ellipsoid1, torch.Tensor)
@pytest.mark.parametrize("value", [0, 1, 2, 3, 10])
@pytest.mark.parametrize("strict", [True, False])
def test_check_positive_integer(value, strict):
if value != 0:
check_positive_integer(value, strict=strict)
else:
check_positive_integer(value, strict=False)
# Should fail if value is negative
with pytest.raises(AssertionError):
check_positive_integer(-1, strict=strict)
# Should fail if value is not an integer
with pytest.raises(AssertionError):
check_positive_integer(1.5, strict=strict)
# Should fail if value is not a number
with pytest.raises(AssertionError):
check_positive_integer("string", strict=strict)