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fix tests

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This commit is contained in:
Nicola Demo
2025-02-06 16:07:26 +01:00
parent ee7ad797bd
commit 84775849d1
7 changed files with 78 additions and 91 deletions
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55
tests/test_collector.py
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@@ -8,23 +8,24 @@ from pina.domain import CartesianDomain
from pina.equation.equation import Equation
from pina.equation.equation_factory import FixedValue
from pina.operators import laplacian
from pina.collector import Collector
def test_supervised_tensor_collector():
class SupervisedProblem(AbstractProblem):
output_variables = None
conditions = {
'data1' : Condition(input_points=torch.rand((10,2)),
output_points=torch.rand((10,2))),
'data2' : Condition(input_points=torch.rand((20,2)),
output_points=torch.rand((20,2))),
'data3' : Condition(input_points=torch.rand((30,2)),
output_points=torch.rand((30,2))),
}
problem = SupervisedProblem()
collector = problem.collector
for v in collector.conditions_name.values():
assert v in problem.conditions.keys()
assert all(collector._is_conditions_ready.values())
# def test_supervised_tensor_collector():
# class SupervisedProblem(AbstractProblem):
# output_variables = None
# conditions = {
# 'data1' : Condition(input_points=torch.rand((10,2)),
# output_points=torch.rand((10,2))),
# 'data2' : Condition(input_points=torch.rand((20,2)),
# output_points=torch.rand((20,2))),
# 'data3' : Condition(input_points=torch.rand((30,2)),
# output_points=torch.rand((30,2))),
# }
# problem = SupervisedProblem()
# collector = Collector(problem)
# for v in collector.conditions_name.values():
# assert v in problem.conditions.keys()
# assert all(collector._is_conditions_ready.values())
def test_pinn_collector():
def laplace_equation(input_, output_):
@@ -82,19 +83,18 @@ def test_pinn_collector():
truth_solution = poisson_sol
problem = Poisson()
collector = problem.collector
boundaries = ['gamma1', 'gamma2', 'gamma3', 'gamma4']
problem.discretise_domain(10, 'grid', domains=boundaries)
problem.discretise_domain(10, 'grid', domains='D')
collector = Collector(problem)
collector.store_fixed_data()
collector.store_sample_domains()
for k,v in problem.conditions.items():
if isinstance(v, InputOutputPointsCondition):
assert collector._is_conditions_ready[k] == True
assert list(collector.data_collections[k].keys()) == ['input_points', 'output_points']
else:
assert collector._is_conditions_ready[k] == False
assert collector.data_collections[k] == {}
boundaries = ['gamma1', 'gamma2', 'gamma3', 'gamma4']
problem.discretise_domain(10, 'grid', locations=boundaries)
problem.discretise_domain(10, 'grid', locations='D')
assert all(collector._is_conditions_ready.values())
for k,v in problem.conditions.items():
if isinstance(v, DomainEquationCondition):
assert list(collector.data_collections[k].keys()) == ['input_points', 'equation']
@@ -119,7 +119,8 @@ def test_supervised_graph_collector():
}
problem = SupervisedProblem()
collector = problem.collector
assert all(collector._is_conditions_ready.values())
collector = Collector(problem)
collector.store_fixed_data()
# assert all(collector._is_conditions_ready.values())
for v in collector.conditions_name.values():
assert v in problem.conditions.keys()