def compute_distances(self, sequences):
for seq1, val1 in sequences.items():
for seq2, val2 in sequences.items():
if ("".join([seq1, seq2]) not in self.distances):
self.distances["".join([seq1, seq2])] = \
hamming_distance(val1, val2)
self.distances["".join([seq2, seq1])] = \
self.distances["".join([seq1, seq2])]
def compute_distances(self, sequences):
for seq1 in sequences.keys():
for seq2 in sequences.keys():
if ("".join([seq1, seq2]) not in self.distances):
self.distances["".join([seq1, seq2])] = hamming_distance(
sequences[seq1], sequences[seq2])
self.distances["".join(
[seq2, seq1])] = self.distances["".join([seq1, seq2])]
def compute_distances(self, sequences):
for seq1, val1 in sequences.items():
for seq2, val2 in sequences.items():
if ("".join([seq1, seq2]) not in self.distances):
self.distances["".join([seq1, seq2])] = \
hamming_distance(val1, val2)
self.distances["".join([seq2, seq1])] = \
self.distances["".join([seq1, seq2])]
def compute_distances(self, sequences):
for seq1 in sequences.keys():
for seq2 in sequences.keys():
if "".join([seq1, seq2]) not in self.distances:
self.distances["".join([seq1, seq2])] = hamming_distance(sequences[seq1], sequences[seq2])
self.distances["".join([seq2, seq1])] = self.distances["".join([seq1, seq2])]