(base) ling581-24$ python bfs.py mend.v.1 tear.v.1
start: mend.v.1 is in synset repair.v.01 
end:  tear.v.1 is in synset tear.v.01
Found at distance 4 (13610 nodes expanded)
tear.v.01 deriv_related rupture.n.03 hyponyms breakage.n.03 deriv_related break.v.04 antonyms repair.v.01 
Found at distance 4 (13856 nodes expanded)
tear.v.01 hyponyms separate.v.02 hypernyms sever.v.01 also_sees break.v.04 antonyms repair.v.01 
Search space complete
DiGraph with 7 nodes and 7 edges
(base) ling581-24$ python bfs.py fix.v.1 flat.a.1
start: fix.v.1 is in synset repair.v.01 
end:  flat.a.1 is in synset flat.s.01
Not found (distance 5 and 100021 nodes expanded)
(base) ling581-24$ python bfs.py -m 1000000 fix.v.1 flat.a.1
start: fix.v.1 is in synset repair.v.01 
end:  flat.a.1 is in synset flat.s.01
Not found (distance 6 and 1000004 nodes expanded)
(base) ling581-24$ python bfs.py -m 1000000 fix.v.1 flat.a.2
start: fix.v.1 is in synset repair.v.01 
end:  flat.a.2 is in synset flat.s.02
Not found (distance 6 and 1000004 nodes expanded)
(base) ling581-24$ python bfs.py -m 1000000 fix.v.1 flat.a.7
start: fix.v.1 is in synset repair.v.01 
end:  flat.a.7 is in synset compressed.s.03
Not found (distance 6 and 1000004 nodes expanded)
(base) ling581-24$ 


(base) ling581-24$ python bfs.py -m 1000000 fix.v.1 deflate.v.6
start: fix.v.1 is in synset repair.v.01 
end:  deflate.v.6 is in synset deflate.v.06
Found at distance 6 (851961 nodes expanded)
deflate.v.06 hyponyms decrease.v.01 deriv_related decrease.n.01 deriv_related decrease.v.02 hyponyms change.v.01 hypernyms better.v.02 hypernyms repair.v.01 
DiGraph with 7 nodes and 6 edges
(base) ling581-24$ python bfs.py -m 1000000 clean.v.1 dirty.a.1
start: clean.v.1 is in synset clean.v.01 
end:  dirty.a.1 is in synset dirty.a.01
Found at distance 3 (3962 nodes expanded)
dirty.a.01 deriv_related dirt.n.02 deriv_related dirty.v.01 antonyms clean.v.01 
Found at distance 3 (3984 nodes expanded)
dirty.a.01 deriv_related dirt.n.02 deriv_related dirty.v.01 antonyms clean.v.01 
Search space complete
DiGraph with 4 nodes and 3 edges
(base) ling581-24$ python bfs.py -m 1000000 fill.v.1 empty.a.1
start: fill.v.1 is in synset fill.v.01 
end:  empty.a.1 is in synset empty.a.01
Not found (distance 5 and 1000000 nodes expanded)
(base) ling581-24$ python bfs.py -m 1000000 fill.v.1 empty.v.1
start: fill.v.1 is in synset fill.v.01 
end:  empty.v.1 is in synset empty.v.01
Found at distance 1 (27 nodes expanded)
empty.v.01 antonyms fill.v.01 
Search space complete
DiGraph with 2 nodes and 1 edges
(base) ling581-24$ 

(base) ling581-24$ python
Python 3.9.16 | packaged by conda-forge | (main, Feb  1 2023, 21:38:11) 
[Clang 14.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import nltk
>>> import gensim
>>> from nltk.data import find
>>> word2vec_sample = str(find('models/word2vec_sample/pruned.word2vec.txt'))
>>> model = gensim.models.KeyedVectors.load_word2vec_format(word2vec_sample, binary=False)
>>> model.most_similar(positive=['flat','tire'], negative=['fix'], topn=5)
[('tires', 0.5352495908737183), ('chassis', 0.35741865634918213), ('Tires', 0.35724493861198425), ('Tire', 0.35435542464256287), ('rigids', 0.35333168506622314)]
>>> model.most_similar(positive=['deflate','tire'], negative=['fix'], topn=5)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/sandiway/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py", line 841, in most_similar
    mean = self.get_mean_vector(keys, weight, pre_normalize=True, post_normalize=True, ignore_missing=False)
  File "/Users/sandiway/opt/anaconda3/lib/python3.9/site-packages/gensim/models/keyedvectors.py", line 518, in get_mean_vector
    raise KeyError(f"Key '{key}' not present in vocabulary")
KeyError: "Key 'deflate' not present in vocabulary"
>>> 
>>> model.most_similar(positive=['deflated','tire'], negative=['fix'], topn=5)
[('tires', 0.5590618252754211), ('Tires', 0.39363858103752136), ('Tire', 0.38084614276885986), ('punctured', 0.34828218817710876), ('crushed', 0.3400101661682129)]
>>> 
























>>>