def err(ps):
runs = ps.runs()
r1 = [r.output() for r in runs]
n = len(runs)
avg = sum(r1) / n
err = math.sqrt(sum([(r - avg)**2 for r in r1]) / ((n - 1) * n))
return err
def do_until_convergence(params):
ps = sim.find_or_create_parameter_set(params)
ps.create_runs_upto(4)
Server.await_ps(ps)
e = err(ps)
while e > 0.2:
print(f"results for {params} is not converged")
ps.create_runs_upto(len(ps.runs()) + 4) # add four runs
Server.await_ps(ps)
e = err(ps)
print(f"converged results for {params}, error = {e}")
with Server.start():
for p1 in [1.0, 1.5, 2.0, 2.5]:
for p2 in [0.5, 1.0]:
Server.do_async(lambda param={
'mu': p1,
'sigma': p2
}: do_until_convergence(param))
import functools
from caravan import Server, Task
def run_sequential_tasks(n):
for i in range(4):
task = Task.create(f"sleep {1+i%3}")
Server.await_task(
task) # this method blocks until the task is complete.
print(f"step {i} of {n} finished") # show the progress
with Server.start():
for n in range(3):
Server.do_async(functools.partial(run_sequential_tasks, n))