This library allows indexing many strings into a file, and then efficiently fuzzy-matching strings against what’s been indexed.
Currently, the structure is built from the Rust program in memory before being written to the file, so that phase uses a lot of RAM. You cannot create/change an index from Python.
String search is done from the file and requires little memory.
The index is a trie structure in which trigrams can be looked up; results for each trigrams of the input are matched and sorted to get the most similar strings.
Example:
>>> from ngram_search import Ngrams
>>> ngrams = Ngrams(path)
>>> ngrams.search("ham", 0.24)
[(0, 1.0), (2, 0.25)]
>>> ngrams.search("spa", 0.2)
[(0, 0.375)]
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Release files for ngram-search 0.1.2
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Built distributions (wheels)
Total release size: 3.6 MB
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Release files / ngram_search-0.1.2-cp36-cp36m-win_amd64.whl
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Release files / ngram_search-0.1.2-cp36-cp36m-win32.whl
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Release files / ngram_search-0.1.2-cp36-cp36m-manylinux2010_x86_64.whl
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Release files / ngram_search-0.1.2-cp36-cp36m-manylinux2010_i686.whl
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Release files / ngram_search-0.1.2-cp36-cp36m-manylinux1_x86_64.whl
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Release files / ngram_search-0.1.2-cp36-cp36m-manylinux1_i686.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-win_amd64.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-win32.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-manylinux2010_x86_64.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-manylinux2010_i686.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-manylinux1_x86_64.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-manylinux1_i686.whl
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Release files / ngram_search-0.1.2-cp35-cp35m-macosx_10_9_x86_64.whl
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Security for ngram-search 0.1.2
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