def write_dict_for_decode(self):
helper = Help()
print("dictionary_for_decoder:")
for i in range(0, len(self.standart_placement)):
syndrom_leader = self.syndrom_table[i]
print("{", syndrom_leader, ": " , end = '')
weight_list = list()
for coset in self.standart_placement[i]:
weight = helper.calculate_weight_for_vector(coset)
if (weight <= self.t):
weight_list.append(list(coset))
print(weight_list, "} ")
def calculate_probability(self):
helper = Help()
syn_leader_list = list()
weight_and_count = dict()
for i in range(0, self.t + 1):
weight_and_count[i] = 0
i = 0
while i < len(self.standart_placement):
leader = self.standart_placement[i][0]
weight = helper.calculate_weight_for_vector(leader)
if (weight <= self.t):
weight_and_count[weight] = weight_and_count[weight] + 1
i = i + 1
prob_e_leader = 0
for weight in weight_and_count.keys():
prob = (self.p ** weight) * ((1 - self.p) ** (self.n - weight))
prob_e_leader = prob_e_leader + (weight_and_count[weight] * prob)
prob_e_not_leader = 1 - prob_e_leader
return prob_e_not_leader
