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‎pina/problem/zoo/advection.py‎

Lines changed: 2 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -33,8 +33,7 @@ class AdvectionProblem(SpatialProblem, TimeDependentProblem):
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DOI: `arXiv:2308.08468 <https://arxiv.org/abs/2308.08468>`_.
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:Example:
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>>> problem = AdvectionProblem(c=1.0)
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>>> problem = AdvectionProblem()
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"""
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output_variables = ["u"]
@@ -54,7 +53,7 @@ def __init__(self, c=1.0):
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"""
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Initialization of the :class:`AdvectionProblem`.
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:param c: The advection velocity parameter. Default is 1.0.
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:param c: The advection velocity parameter.
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:type c: float | int
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"""
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super().__init__()

‎pina/problem/zoo/allen_cahn.py‎

Lines changed: 3 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,6 @@ class AllenCahnProblem(TimeDependentProblem, SpatialProblem):
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:math:`[-1, 1]` and temporal interval :math:`[0, 1]`.
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.. seealso::
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**Original reference**: Sokratis J. Anagnostopoulos, Juan D. Toscano,
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Nikolaos Stergiopulos, and George E. Karniadakis.
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*Residual-based attention and connection to information
@@ -38,8 +37,7 @@ class AllenCahnProblem(TimeDependentProblem, SpatialProblem):
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j.cma.2024.116805 <https://doi.org/10.1016/j.cma.2024.116805>`_.
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:Example:
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>>> problem = AllenCahnProblem(alpha=1e-4, beta=5.0)
40+
>>> problem = AllenCahnProblem()
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"""
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output_variables = ["u"]
@@ -59,9 +57,9 @@ def __init__(self, alpha=1e-4, beta=5):
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"""
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Initialization of the :class:`AllenCahnProblem`.
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:param alpha: The diffusion coefficient. Default is 1e-4.
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:param alpha: The diffusion coefficient.
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:type alpha: float | int
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:param beta: The reaction coefficient. Default is 5.0.
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:param beta: The reaction coefficient.
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:type beta: float | int
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"""
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super().__init__()

‎pina/problem/zoo/diffusion_reaction.py‎

Lines changed: 4 additions & 6 deletions
Original file line numberDiff line numberDiff line change
@@ -34,14 +34,12 @@ class DiffusionReactionProblem(TimeDependentProblem, SpatialProblem):
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:math:`[-\pi, \pi]` and temporal interval :math:`[0, 1]`.
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.. seealso::
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**Original reference**: Si, Chenhao, et al. *Complex Physics-Informed
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Neural Network.* arXiv preprint arXiv:2502.04917 (2025).
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DOI: `arXiv:2502.04917 <https://arxiv.org/abs/2502.04917>`_.
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:Example:
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>>> problem = DiffusionReactionProblem(alpha=1e-4)
42+
>>> problem = DiffusionReactionProblem()
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"""
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output_variables = ["u"]
@@ -56,16 +54,16 @@ class DiffusionReactionProblem(TimeDependentProblem, SpatialProblem):
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}
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conditions = {
59-
"g1": Condition(domain="g1", equation=FixedValue(value=0.0)),
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"g2": Condition(domain="g2", equation=FixedValue(value=0.0)),
57+
"g1": Condition(domain="g1", equation=FixedValue(0.0)),
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"g2": Condition(domain="g2", equation=FixedValue(0.0)),
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"t0": Condition(domain="t0", equation=Equation(initial_condition)),
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}
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def __init__(self, alpha=1e-4):
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"""
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Initialization of the :class:`DiffusionReactionProblem`.
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:param alpha: The diffusion coefficient. Default is 1e-4.
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:param alpha: The diffusion coefficient.
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:type alpha: float | int
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"""
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super().__init__()

‎pina/problem/zoo/helmholtz.py‎

Lines changed: 6 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -14,14 +14,12 @@ class HelmholtzProblem(SpatialProblem):
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:math:`[-1, 1] \times [-1, 1]`.
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.. seealso::
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**Original reference**: Si, Chenhao, et al. *Complex Physics-Informed
1918
Neural Network.* arXiv preprint arXiv:2502.04917 (2025).
2019
DOI: `arXiv:2502.04917 <https://arxiv.org/abs/2502.04917>`_.
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:Example:
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>>> problem = HelmholtzProblem(alpha=3.0)
22+
>>> problem = HelmholtzProblem()
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"""
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output_variables = ["u"]
@@ -36,17 +34,17 @@ class HelmholtzProblem(SpatialProblem):
3634
}
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conditions = {
39-
"g1": Condition(domain="g1", equation=FixedValue(value=0.0)),
40-
"g2": Condition(domain="g2", equation=FixedValue(value=0.0)),
41-
"g3": Condition(domain="g3", equation=FixedValue(value=0.0)),
42-
"g4": Condition(domain="g4", equation=FixedValue(value=0.0)),
37+
"g1": Condition(domain="g1", equation=FixedValue(0.0)),
38+
"g2": Condition(domain="g2", equation=FixedValue(0.0)),
39+
"g3": Condition(domain="g3", equation=FixedValue(0.0)),
40+
"g4": Condition(domain="g4", equation=FixedValue(0.0)),
4341
}
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def __init__(self, alpha=3.0):
4644
"""
4745
Initialization of the :class:`HelmholtzProblem` class.
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49-
:param alpha: Parameter of the forcing term. Default is 3.0.
47+
:param alpha: Parameter of the forcing term.
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:type alpha: float | int
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"""
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super().__init__()

‎pina/problem/zoo/inverse_poisson_2d_square.py‎

Lines changed: 5 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -77,8 +77,7 @@ class InversePoisson2DSquareProblem(SpatialProblem, InverseProblem):
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downloaded successfully.
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:Example:
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>>> problem = InversePoisson2DSquareProblem(load=True, data_size=1.0)
80+
>>> problem = InversePoisson2DSquareProblem()
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"""
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output_variables = ["u"]
@@ -96,10 +95,10 @@ class InversePoisson2DSquareProblem(SpatialProblem, InverseProblem):
9695
}
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conditions = {
99-
"g1": Condition(domain="g1", equation=FixedValue(value=0.0)),
100-
"g2": Condition(domain="g2", equation=FixedValue(value=0.0)),
101-
"g3": Condition(domain="g3", equation=FixedValue(value=0.0)),
102-
"g4": Condition(domain="g4", equation=FixedValue(value=0.0)),
98+
"g1": Condition(domain="g1", equation=FixedValue(0.0)),
99+
"g2": Condition(domain="g2", equation=FixedValue(0.0)),
100+
"g3": Condition(domain="g3", equation=FixedValue(0.0)),
101+
"g4": Condition(domain="g4", equation=FixedValue(0.0)),
103102
"D": Condition(domain="D", equation=Equation(laplace_equation)),
104103
}
105104

@@ -109,7 +108,6 @@ def __init__(self, load=True, data_size=1.0):
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:param bool load: If True, it attempts to load data from remote URLs.
111110
Set to False to skip data loading (e.g., if no internet connection).
112-
Default is True.
113111
:param float data_size: The fraction of the total data to use for the
114112
"data" condition. If set to 1.0, all available data is used.
115113
If set to 0.0, no data is used. Default is 1.0.

‎pina/problem/zoo/poisson_2d_square.py‎

Lines changed: 4 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,6 @@ class Poisson2DSquareProblem(SpatialProblem):
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:math:`[0, 1] \times [0, 1]`.
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:Example:
31-
3231
>>> problem = Poisson2DSquareProblem()
3332
"""
3433

@@ -44,10 +43,10 @@ class Poisson2DSquareProblem(SpatialProblem):
4443
}
4544

4645
conditions = {
47-
"g1": Condition(domain="g1", equation=FixedValue(value=0.0)),
48-
"g2": Condition(domain="g2", equation=FixedValue(value=0.0)),
49-
"g3": Condition(domain="g3", equation=FixedValue(value=0.0)),
50-
"g4": Condition(domain="g4", equation=FixedValue(value=0.0)),
46+
"g1": Condition(domain="g1", equation=FixedValue(0.0)),
47+
"g2": Condition(domain="g2", equation=FixedValue(0.0)),
48+
"g3": Condition(domain="g3", equation=FixedValue(0.0)),
49+
"g4": Condition(domain="g4", equation=FixedValue(0.0)),
5150
"D": Condition(domain="D", equation=Poisson(forcing_term=forcing_term)),
5251
}
5352

‎pina/problem/zoo/supervised_problem.py‎

Lines changed: 0 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -13,7 +13,6 @@ class SupervisedProblem(AbstractProblem):
1313
:class:`~pina.condition.input_target_condition.InputTargetCondition`.
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:Example:
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>>> import torch
1817
>>> input_data = torch.rand((100, 10))
1918
>>> output_data = torch.rand((100, 10))
@@ -34,17 +33,10 @@ def __init__(
3433
:type input_: torch.Tensor | LabelTensor | Graph | Data
3534
:param output_: Output data of the problem.
3635
:type output_: torch.Tensor | LabelTensor | Graph | Data
37-
:param list[str] input_variables: List of names of the input variables.
38-
If None, the input variables are inferred from `input_`.
39-
Default is None.
40-
:param list[str] output_variables: List of names of the output
41-
variables. If None, the output variables are inferred from
42-
`output_`. Default is None.
4336
"""
4437
# Set input and output variables
4538
self.input_variables = input_variables
4639
self.output_variables = output_variables
47-
4840
# Set the condition
4941
self.conditions["data"] = Condition(input=input_, target=output_)
5042
super().__init__()

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