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Fix ValueError when instantiating SparseTermSimilarityMatrix #2689

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merged 7 commits into from
Jan 6, 2020
Merged

Fix ValueError when instantiating SparseTermSimilarityMatrix #2689

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2f82e13
force python int before calling islice. islice don't accept numpy int
Nov 27, 2019
40fa7f6
add test to check islice error
Dec 10, 2019
5e8469e
Merge branch 'fix-levenshteinsimilarity-index-error-2688' of https://…
Dec 10, 2019
13dd380
it makes test to fail
Dec 10, 2019
4cb0248
make sure that islice receives a python int
Dec 10, 2019
d4d59a1
Merge remote-tracking branch 'gensim/develop' into fix-levenshteinsim…
Jan 3, 2020
f6c9279
fix typo
Jan 6, 2020
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4 changes: 2 additions & 2 deletions gensim/similarities/levenshtein.py
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
This module provides a namespace for functions that use the Levenshtein distance.
"""

from itertools import islice
import itertools
import logging
from math import floor

Expand Down Expand Up @@ -150,4 +150,4 @@ def most_similar(self, t1, topn=10):
for (similarity, t2) in sorted(similarities, reverse=True)
if similarity > 0
)
return islice(most_similar, topn)
return itertools.islice(most_similar, int(topn))
5 changes: 5 additions & 0 deletions gensim/test/test_similarities.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1225,6 +1225,11 @@ def test_most_similar(self):
second_similarities = numpy.array([similarity for term, similarity in index.most_similar(u"holiday", topn=10)])
self.assertTrue(numpy.allclose(first_similarities ** 2.0, second_similarities))

# check proper integration with SparseTermSimilarityMatrix
index = LevenshteinSimilarityIndex(self.dictionary, alpha=1.0, beta=1.0)
similarity_matrix = SparseTermSimilarityMatrix(index, dictionary)
self.assertTrue(scipy.sparse.issparse(similarity_matrix.matrix))


if __name__ == '__main__':
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.DEBUG)
Expand Down