2.3.3 Using simulation trackers

This example illustrates how trackers can be used to analyze simulations.

  0%|          | 0/3.0 [00:00<?, ?it/s]
Initializing:   0%|          | 0/3.0 [00:00<?, ?it/s]
  0%|          | 0/3.0 [00:05<?, ?it/s]
  3%|▎         | 0.1/3.0 [00:05<02:31, 52.27s/it]
  7%|▋         | 0.2/3.0 [00:05<01:13, 26.14s/it]
 37%|███▋      | 1.1/3.0 [00:05<00:09,  4.81s/it]
 37%|███▋      | 1.1/3.0 [00:05<00:09,  4.93s/it]
100%|██████████| 3.0/3.0 [00:05<00:00,  1.81s/it]
100%|██████████| 3.0/3.0 [00:05<00:00,  1.81s/it]
508.899972790844
508.89997279084395
508.899972790844
508.89997279084406

import pde

grid = pde.UnitGrid([32, 32])  # generate grid
state = pde.ScalarField.random_uniform(grid)  # generate initial condition

storage = pde.MemoryStorage()

trackers = [
    "progress",  # show progress bar during simulation
    "steady_state",  # abort when steady state is reached
    storage.tracker(interrupts=1),  # store data every simulation time unit
    pde.PlotTracker(show=True),  # show images during simulation
    # print some output every 5 real seconds:
    pde.PrintTracker(interrupts=pde.RealtimeInterrupts(duration=5)),
]

eq = pde.DiffusionPDE(0.1)  # define the PDE
eq.solve(state, 3, dt=0.1, tracker=trackers)

for field in storage:
    print(field.integral)