After building the FSM and HFSM, how to benchmark the performance , like converage speed or Traverse the FSM

Hello @WillianXu117,

I am not entirely sure what you are referring to. If you want to measure how long it took to process a trigger, you can just get the timestamps before and after the trigger call:

from transitions import Machine
import time

def heavy_processing():
  time.sleep(0.1)

m = Machine(states=['A', 'B'], initial='A', after_state_change=heavy_processing)
start_time = time.time()
m.to_B()
print(f"Trigger processing took {round((time.time() - start_time) * 1000.0)} ms")
>>> Trigger processing took 107 ms

You can do the timekeeping in callbacks as well. Check the callback execution order in the README for more details.

from transitions import Machine
import time

start_time = 0

def heavy_processing():
    time.sleep(0.1)

def set_time():
    global start_time
    start_time = time.time()

def log_time():
    global start_time
    print(f"Trigger processing took {round((time.time() - start_time) * 1000.0)} ms")

m = Machine(states=['A', 'B'], initial='A', prepare_event=set_time, after_state_change=heavy_processing,
            finalize_event=log_time)

m.to_B()

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After building the FSM and HFSM, how to benchmark the performance , like converage speed or Traverse the FSM #524