Fix Codacy Warnings (#477)

---------

Co-authored-by: Dario Coscia <dariocos99@gmail.com>
This commit is contained in:
Filippo Olivo
2025-03-10 15:38:45 +01:00
committed by Nicola Demo
parent e3790e049a
commit 4177bfbb50
157 changed files with 3473 additions and 3839 deletions

View File

@@ -10,18 +10,20 @@ from pina.optim import TorchOptimizer
# make the problem
poisson_problem = Poisson()
boundaries = ['g1', 'g2', 'g3', 'g4']
boundaries = ["g1", "g2", "g3", "g4"]
n = 10
poisson_problem.discretise_domain(n, 'grid', domains=boundaries)
poisson_problem.discretise_domain(n, 'grid', domains='D')
model = FeedForward(len(poisson_problem.input_variables),
len(poisson_problem.output_variables))
poisson_problem.discretise_domain(n, "grid", domains=boundaries)
poisson_problem.discretise_domain(n, "grid", domains="D")
model = FeedForward(
len(poisson_problem.input_variables), len(poisson_problem.output_variables)
)
# make the solver
solver = PINN(problem=poisson_problem, model=model)
adam_optimizer = TorchOptimizer(torch.optim.Adam, lr=0.01)
lbfgs_optimizer = TorchOptimizer(torch.optim.LBFGS, lr= 0.001)
lbfgs_optimizer = TorchOptimizer(torch.optim.LBFGS, lr=0.001)
def test_switch_optimizer_constructor():
SwitchOptimizer(adam_optimizer, epoch_switch=10)