Renaming

* solvers -> solver
* adaptive_functions -> adaptive_function
* callbacks -> callback
* operators -> operator
* pinns -> physics_informed_solver
* layers -> block

tests/test_callback/test_progress_bar.py

@@ -0,0 +1,33 @@
+from pina.solver import PINN
+from pina.trainer import Trainer
+from pina.model import FeedForward
+from pina.callback.processing_callback import PINAProgressBar
+from pina.problem.zoo import Poisson2DSquareProblem as Poisson
+
+
+# # make the problem
+# poisson_problem = Poisson()
+# boundaries = ['nil_g1', 'nil_g2', 'nil_g3', 'nil_g4']
+# n = 10
+# poisson_problem.discretise_domain(n, 'grid', locations=boundaries)
+# poisson_problem.discretise_domain(n, 'grid', locations='laplace_D')
+# model = FeedForward(len(poisson_problem.input_variables),
+#                     len(poisson_problem.output_variables))
+
+# # make the solver
+# solver = PINN(problem=poisson_problem, model=model)
+
+
+# def test_progress_bar_constructor():
+#     PINAProgressBar(['mean'])
+
+# def test_progress_bar_routine():
+#     # make the trainer
+#     trainer = Trainer(solver=solver,
+#                       callback=[
+#                           PINAProgressBar(['mean', 'laplace_D'])
+#                       ],
+#                       accelerator='cpu',
+#                       max_epochs=5)
+#     trainer.train()
+#     # TODO there should be a check that the correct metrics are displayed