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pyahocorasick is a fast and memory efficient library for exact or approximate multi-pattern string search. With the ahocorasick.Automaton class, you can find multiple key strings occurrences at once in some input text. You can use it as a plain dict-like Trie or convert a Trie to an automaton for efficient Aho-Corasick search. Implemented in C and tested on Python 2.7 and 3.4+. Works on Linux, Mac and Windows. BSD-3-clause license.

Project description

pyahocorasick is a fast and memory efficient library for exact or approximatemulti-pattern string search meaning that you can find multiple key stringsoccurrences at once in some input text. The library provides an ahocorasick Pythonmodule that you can use as a plain dict-like Trie or convert a Trie to an automatonfor efficient Aho-Corasick search.

It is implemented in C and tested on Python 2.7 and 3.4+. It works on Linux, Mac andWindows.

The license is BSD-3-clause. Some utilities, such as tests and the pure Pythonautomaton are dedicated to the Public Domain.

Download and source code

You can fetch pyahocorasick from:

• GitHub https://github.com/WojciechMula/pyahocorasick/
• Pypi https://pypi.python.org/pypi/pyahocorasick/
• Conda-Forge https://github.com/conda-forge/pyahocorasick-feedstock/

Quick start

This module is written in C. You need a C compiler installed to compile nativeCPython extensions. To install:

Then create an Automaton:

You can use the Automaton class as a trie. Add some string keys and their associatedvalue to this trie. Here we associate a tuple of (insertion index, original string)as a value to each key string we add to the trie:

Then check if some string exists in the trie:

And play with the get() dict-like method:

Now convert the trie to an Aho-Corasick automaton to enable Aho-Corasick search:

Then search all occurrences of the keys (the needles) in an input string (our haystack).

Here we print the results and just check that they are correct. TheAutomaton.iter() method return the results as two-tuples of the end index where atrie key was found in the input string and the associated value for this key. Herewe had stored as values a tuple with the original string and its trie insertionorder:

You can also create an eventually large automaton ahead of time and pickle it tore-load later. Here we just pickle to a string. You would typically pickle to afile instead:

See also:

• FAQ and Who is using pyahocorasick? https://github.com/WojciechMula/pyahocorasick/wiki/FAQ#who-is-using-pyahocorasick

Documentation

The full documentation including the API overview and reference is published onreadthedocs.

Overview

With an Aho-Corasick automatonyou can efficiently search all occurrences of multiple strings (the needles) in aninput string (the haystack) making a single pass over the input string. Withpyahocorasick you can eventually build large automatons and pickle them to reusethem over and over as an indexed structure for fast multi pattern string matching.

One of the advantages of an Aho-Corasick automaton is that the typical worst-caseand best-case runtimes are about the same and depends primarily on the sizeof the input string and secondarily on the number of matches returned. Whilethis may not be the fastest string search algorithm in all cases, it can searchfor multiple strings at once and its runtime guarantees make it rather unique.Because pyahocorasick is based on a Trie, it stores redundant keys prefixes onlyonce using memory efficiently.

A drawback is that it needs to be constructed and “finalized” ahead of timebefore you can search strings. In several applications where you search for severalpre-defined “needles” in a variable “haystacks” this is actually an advantage.

Aho-Corasick automatons are commonly used for fast multi-pattern matchingin intrusion detection systems (such as snort), anti-viruses and many otherapplications that need fast matching against a pre-defined set of string keys.

Internally an Aho-Corasick automaton is typically based on a Trie with extradata for failure links and an implementation of the Aho-Corasick searchprocedure.

Behind the scenes the pyahocorasick Python library implements these two datastructures: a Trie and an Aho-Corasick stringmatching automaton. Both are exposed through the Automaton class.

In addition to Trie-like and Aho-Corasick methods and data structures,pyahocorasick also implements dict-like methods: The pyahocorasickAutomaton is a Trie a dict-like structure indexed by string keys eachassociated with a value object. You can use this to retrieve an associated valuein a time proportional to a string key length.

pyahocorasick is available in two flavors:

• a CPython C-based extension, compatible with Python 2 and 3.
• a simpler pure Python module, compatible with Python 2 and 3. This is onlyavailable in the source repository (not on Pypi) under the py/ directory andhas a slightly different API.

Unicode and bytes

The type of strings accepted and returned by Automaton methods are eitherunicode or bytes, depending on a compile time settings (preprocessordefinition of AHOCORASICK_UNICODE as set in setup.py).

The Automaton.unicode attributes can tell you how the library was built.On Python 3, unicode is the default. On Python 2, bytes is the default and only value.

Warning

When the library is built with unicode support on Python 3, an Automaton willstore 2 or 4 bytes per letter, depending on your Python installation. When builtfor bytes, only one byte per letter is needed.

Unicode is NOT supported on Python 2 for now.

Build and install from PyPi

To install for common operating systems, use pip. Pre-built wheels should beavailable on Pypi at some point in the future:

To build from sources you need to have a C compiler installed and configured whichshould be standard on Linux and easy to get on MacOSX.

On Windows and Python 2.7 you need the Microsoft Visual C++ Compiler for Python 2.7 (aka. VisualStudio 2008). There have been reports that pyahocorasick does not build yet withMinGW. It may build with cygwin but this has not been tested. If you get this workingwith these platforms, please report in a ticket!

To build from sources, clone the git repository or download and extract the sourcearchive.

Install pip (and its setuptools companion) and then run (in a virtualenv ofcourse!):

If compilation succeeds, the module is ready to use.

Support

Support is available through the GitHub issue tracker to report bugs or askquestions.

Contributing

You can submit contributions through GitHub pull requests.

Authors

The initial author and maintainer is Wojciech Muła. Philippe Ombredanne, the current co-owner, rewrotedocumentation, setup CI servers and did a whole lot of work to make this modulebetter accessible to end users.

Alphabetic list of authors:

• Andrew Grigorev
• Bogdan
• David Woakes
• Edward Betts
• Frankie Robertson
• Frederik Petersen
• gladtosee
• INADA Naoki
• Jan Fan
• Pastafarianist
• Philippe Ombredanne
• Renat Nasyrov
• Sylvain Zimmer
• Xiaopeng Xu

This library would not be possible without help of many people, who contributed invarious ways.They created pull requests,reported bugs as GitHub issuesor via direct messages, proposed fixes, or spent their valuable time on testing.

Thank you.

License

This library is licensed under very liberalBSD-3-Clause license. Some portions ofthe code are dedicated to the public domain such as the pure Python automaton and testcode.

Full text of license is available in LICENSE file.

Other Aho-Corasick implementations for Python you can consider

While pyahocorasick tries to be the finest and fastest Aho Corasick libraryfor Python you may consider these other libraries:

• py_aho_corasick by Jan

• Written in pure Python.
• Poor performance.

• ahocorapy by abusix

• Written in pure Python.
• Better performance than py-aho-corasick.
• Using pypy, ahocorapy’s search performance is only slightly worse than pyahocorasick’s.
• Performs additional suffix shortcutting (more setup overhead, less search overhead for suffix lookups).
• Includes visualization tool for resulting automaton (using pygraphviz).
• MIT-licensed, 100% test coverage, tested on all major python versions (+ pypy)

• noaho by Jeff Donner

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• Written in C. Does not return overlapping matches.
• Does not compile on Windows (July 2016).
• No support for the pickle protocol.

• acora by Stefan Behnel

• Written in Cython.
• Large automaton may take a long time to build (July 2016)
• No support for a dict-like protocol to associate a value to a string key.

• ahocorasick by Danny Yoo

• Written in C.
• seems unmaintained (last update in 2005).
• GPL-licensed.

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