fuzzysearch/docs/usage.rst

35 lines
1.1 KiB
ReStructuredText
Raw Normal View History

2013-11-01 22:34:18 +00:00
========
Usage
========
Simple Example
--------------
You can usually just use the `find_near_matches()` utility function, which
chooses a suitable fuzzy search implementation according to the given
parameters:
2013-11-01 22:34:18 +00:00
.. code:: python
>>> from fuzzysearch import find_near_matches
>>> find_near_matches('PATTERN', 'aaaPATERNaaa', max_l_dist=1)
[Match(start=3, end=9, dist=1)]
Advanced Example
----------------
If needed you can choose a specific search implementation, such as
`find_near_matches_with_ngrams()`:
.. code:: python
>>> sequence = '''\
GACTAGCACTGTAGGGATAACAATTTCACACAGGTGGACAATTACATTGAAAATCACAGATTGGTCACACACACA
TTGGACATACATAGAAACACACACACATACATTAGATACGAACATAGAAACACACATTAGACGCGTACATAGACA
CAAACACATTGACAGGCAGTTCAGATGATGACGCCCGACTGATACTCGCGTAGTCGTGGGAGGCAAGGCACACAG
GGGATAGG'''
>>> subsequence = 'TGCACTGTAGGGATAACAAT' #distance 1
>>> max_distance = 2
>>> from fuzzysearch import find_near_matches_with_ngrams
>>> find_near_matches_with_ngrams(subsequence, sequence, max_distance)
[Match(start=3, end=24, dist=1)]