def generate_covering_classifier(env, action):
newcl = Classifier()
newcl.condition = ['0'] * len(env)
for i in range(len(env)):
if rd.random() < cons.P_dontcare:
newcl.condition[i] = cons.dontCare
else:
newcl.condition[i] = env[i]
for i in range(len(action)):
if action[i] is False:
newcl.action = i
newcl.prediction = cons.predictionIni
newcl.predictionError = cons.predictionErrorIni
newcl.fitness = cons.fitnessIni
newcl.experience = 0
newcl.timeStamp = time
newcl.actionSetSize = 1
newcl.numerosity = 1
return newcl
