Closed AnnaNenarokova closed 10 years ago
Hi Anna,
I'm happy fuzzysearch is useful for you!
Which version of fuzzysearch are you using? With the latest version, 0.2.2, find_near_matches(subseq, seq, 0)
raises exception (as it should). Calling it with a limit for the maximum Levenshtein distance works and returns the expected results. This is done by passing max_l_dist=max_distance
instead of just max_distance
as a third parameter.
Here is my example interpreter session:
>>> import fuzzysearch
>>> fuzzysearch.__version__
'0.2.2'
>>> fuzzysearch.find_near_matches(subseq, seq, max_l_dist=4)
[Match(start=60, end=90, dist=1), Match(start=121, end=151, dist=2), Match(start=182, end=212, dist=2)]
>>> fuzzysearch.find_near_matches(subseq, seq, 3)
Traceback (most recent call last):
File "<pyshell#12>", line 1, in <module>
fuzzysearch.find_near_matches(subseq, seq, 3)
File "C:\Python34\lib\site-packages\fuzzysearch\__init__.py", line 59, in find_near_matches
raise ValueError('# insertions must be limited!')
ValueError: # insertions must be limited!
I have updated my fuzzysearch to 0.2.2, and everything works fine now. Thank you very much!
Great!
Hi! I was looking for a suitable tool for Python for a long time, and was very pleased to find your package. Thank you for it. I have a question about results of functions. I tried this:
It returns:
I was very surprised, that when I increase the maximum distance, the number of matches is reduced and not increased. I tried to use find_near_matches_with_ngrams, but it gave the same result. Why is this happening? Maybe I'm doing something wrong? Thank you in advance!