def gen_match_set(pop: list, percept: list):
"""
Generate a list of Classifier thats match current perception
:param pop:
:type pop: list
:param percept:
:type percept: list
:return:
:rtype: list
"""
ma = []
if time == 0 or len(pop) == 0:
for i in range(cons.nbAction):
newcl = Classifier()
newcl.condition = [cons.symbol] * cons.lenCondition
newcl.action = i
newcl.effect = [cons.symbol] * cons.lenCondition
newcl.exp = 0
newcl.t = time
newcl.q = 0.5
pop.append(newcl)
for c in pop:
if does_match(c, percept):
ma.append(c)
return ma
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
