Is it possible to start/stop advance a simulation?

[filimarc]

I've looked through the documentation a bit, and haven't found any examples of simulations that start/stop in a loop. Is this paradigm supported? For example, would this slightly modified example work to chop the simulation in 100 pieces:

import arbor as A

# Get a communication context (with 4 threads, no GPU)
context = A.context(threads=4, gpu_id=None)

# Initialise a recipe of user-defined type my_recipe with 100 cells.
n_cells = 100
recipe = my_recipe(n_cells)

# Get a description of the partition of the model over the cores.
decomp = A.partition_load_balance(recipe, context)

# Instantiate the simulation.
sim = A.simulation(recipe, decomp, context)

# Run the simulation for 2000 ms with a time step of 0.025 ms
tSim = 2000 * U.ms
dt = 0.025 * U.ms
for i in range(100):
    sim.run(tSim / 100 * i, dt)
    print("Time to do something super important in Python before continuing")

[thorstenhater]

Hi @filimarc,

absolutely, sim.run(tfinal=T) will advance the simulation object's state until time T regardless of its internal time.
So, your example will run [0, 0*tSim/100), [0*tSim/100, 1*tSim/100), [1*tSim/100, 2*tSim/100), ...