"""Object that loads a list of similarity values, and that has a similar interface

to a Gensim model."""

def __init__(self):

self.simtype = 'Similar by path'

self.simtypes = {'Similar by J&C', 'Similar by R', 'Similar by W&P',

'Similar by path', 'Similar by L&C', 'Similar by L'}

zf = zipfile.ZipFile('./WordNet-tools/sim-processing/simpairs.txt.all.zip')

data = StringIO(zf.read('simpairs.txt.all').decode('utf-8'))

reader = csv.DictReader(data, delimiter='\t')

self.simdict = {(entry['word-1'], entry['word-2']): entry for entry in reader

if not entry['Similar by path'] == '-1.0'}

self.vocab = {w for pair in self.simdict for w in pair}

zf.close()

del data

del reader

def similarity(self,a,b):

"Computes the similarity between a and b."

pair = tuple(sorted([a,b]))

return float(self.simdict[pair][self.simtype])

def doesnt_match(self, l):

"""Computes similarities between the items in l and return the

item with the lowest sum of similarities to the other items."""

words = set(l)

def sum_of_similarities(i):

return sum(self.similarity(i,x) for x in (words - {i}) )

model

vocab = model.vocab

results = { 'relatedness1': test_suite.test_relatedness_1(model, vocab),

'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'cross-cat'),

'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'cross-cat-weighted'),

'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'within-cat'),

'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'within-cat-weighted'),

'similarity1': test_suite.test_similarity_1(model, vocab),

'similarity2': test_suite.test_similarity_2(model, vocab),

'typicality': test_suite.test_typicality(model, vocab),

'goodness': test_suite.test_goodness(model, vocab),

}