26 lines
948 B
Python
26 lines
948 B
Python
from pina.problem.zoo import InversePoisson2DSquareProblem
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from pina.problem import InverseProblem, SpatialProblem
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import pytest
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@pytest.mark.parametrize("load", [True, False])
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@pytest.mark.parametrize("data_size", [0.01, 0.05])
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def test_constructor(load, data_size):
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# Define the problem with or without loading data
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problem = InversePoisson2DSquareProblem(load=load, data_size=data_size)
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# Discretise the domain
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problem.discretise_domain(n=10, mode="random", domains="all")
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# Check if the problem is correctly set up
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assert problem.are_all_domains_discretised
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assert isinstance(problem, InverseProblem)
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assert isinstance(problem, SpatialProblem)
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assert hasattr(problem, "conditions")
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assert isinstance(problem.conditions, dict)
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# Should fail if data_size is not in the range [0.0, 1.0]
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with pytest.raises(ValueError):
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problem = InversePoisson2DSquareProblem(load=load, data_size=3.0)
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