def computeAggregation(self, words_dict):
"""
Compute aggregation of this word
@param words_dict frequency dict of all candidate words
"""
parts = genSubparts(self.text)
if len(parts) > 0:
self.aggregation = min([self.freq/words_dict[p1_p2[0]].freq/words_dict[p1_p2[1]].freq for p1_p2 in parts])
def computeAggregation(self, words_dict):
"""
Compute aggregation of this word
@param words_dict frequency dict of all candidate words
"""
parts = genSubparts(self.text)
if len(parts) > 0:
self.aggregation = min(map(lambda (p1, p2): self.freq / words_dict[p1].freq / words_dict[p2].freq, parts))
def computeAggregation(self, words_dict):
"""
Compute aggregation of this word
@param words_dict frequency dict of all candidate words
"""
parts = genSubparts(self.text)
if len(parts) > 0:
self.aggregation = min(
map(
lambda (p1, p2): self.freq / words_dict[p1].freq /
words_dict[p2].freq, parts))