def update_application_average(cli: Classifier, t: int):
"""
Update Classifier's parameters aav
:type t: int
:param t: Time
:type cli: Classifier
"""
if cli.exp < 1 / cons.beta:
cli.aav += (t - cli.tga - cli.aav) / cli.exp
else:
cli.aav += cons.beta * (t - cli.tga - cli.aav)
cli.tga = t
def cover_triple(percept_: list, action: int, percept: list, t: int) -> Classifier:
child = Classifier()
for i in range(len(percept)):
if percept_[i] != percept[i]:
child.condition[i] = percept_[i]
child.effect[i] = percept[i]
child.action = action
child.exp = 0
child.r = 0
child.aav = 0
child.alp = t
child.tga = t
child.t = t
child.q = 0.5
child.num = 1
return child
