Generally, I expect that when a local variable goes out of scope, it should be collected from the memory. Here, I experience something different. I tried to run the example given in scikit-fuzzy documentation (here) in a loop, but experience a memory leak. This is the minimal example,
from skfuzzy import control as ctrl
from pympler import muppy,tracker
import skfuzzy as fuzz
import numpy as np
import sys
def base_example():
quality = ctrl.Antecedent(np.arange(0, 11, 1), 'quality')
service = ctrl.Antecedent(np.arange(0, 11, 1), 'service')
tip = ctrl.Consequent(np.arange(0, 26, 1), 'tip')
quality.automf(3)
service.automf(3)
tip['low'] = fuzz.trimf(tip.universe, [0, 0, 13])
tip['medium'] = fuzz.trimf(tip.universe, [0, 13, 25])
tip['high'] = fuzz.trimf(tip.universe, [13, 25, 25])
rule1 = ctrl.Rule(quality['poor'] | service['poor'], tip['low'])
rule2 = ctrl.Rule(service['average'], tip['medium'])
rule3 = ctrl.Rule(service['good'] | quality['good'], tip['high'])
tipping_ctrl = ctrl.ControlSystem([rule1, rule2, rule3])
tipping = ctrl.ControlSystemSimulation(tipping_ctrl)
tipping.input['quality'] = 6.5
tipping.input['service'] = 9.8
tipping.compute()
if __name__ == '__main__':
tr = tracker.SummaryTracker() # to show the initial list of objects
for i in range(100000):
base_example()
if i%500==0: # we monitor different in the list of objects every 500 iterations
print('Iteration ',i)
tr.print_diff() # to show the difference beween this iteration and the base one
Since none of the objects in the base_example is stored in a global variable, I expect that when the function base_example reaches the end, the objects are deleted and the memory is freed, but doesnt happen here. Any ideas?
