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Continuation of Danny Yoo's SuffixTree and SubstringDict (python wrapped C)
This project forked from jdonner/suffixtree
Continuation of Danny Yoo's SuffixTree and SubstringDict (python wrapped C)
SuffixTree --- A Suffix Tree library for Python Conspirator: Danny Yoo ([email protected]) This is a SWIG wrapper around Dan Gusfield's 'strmat' suffix tree library. http://www.cs.ucdavis.edu/~gusfield/strmat.html Suffix trees allow for very powerful string matching, and are used quite a bit in many elegant string algorithms. Since this is a wrapper around strmat.stree, most of the documentation in doc/stree.doc should apply. Installation: 1. Download 2. Compile: > python setup.py build Here are the modules included in the SuffixTree package: o SuffixTree.SuffixTree -- The suffix tree structure. This is a thin wrapper around strmat's stree data structure. This isn't a complete wrapper yet; I need to find some time to complete this. The wrapper appears to be good enough for simple stuff. Methods of SuffixTree: o SuffixTree(alphabet=STREE_ASCII) Construct a new SuffixTree. By default, the alphabet used by the SuffixTree is ASCII. Other choices include STREE_DNA, STREE_RNA, and STREE_PROTEIN. o add(string, id) Adds a string to the suffix tree with an id. o root() Returns the root() SuffixNode of the tree. o num_nodes(): Returns the total number of nodes held in the tree. o match(string) Given a string, traverse the suffix tree and return a 3-tuple (match_length, suffix_node, endpos) o SuffixTree.SuffixNode (I need to fix the documentation here) Methods of num_children() find_child(char ch) children() next() parent() suffix_link() edgelen() edgestr() getch() labellen() labelstr() ident() num_leaves() leaf(int leafnum) o SuffixTree.SubstringDict -- An application of suffix trees toward substring matching. An example might help: ### >>> import SuffixTree.SubstringDict >>> d = SuffixTree.SubstringDict() >>> d['foobar'] = 1 >>> d['barfoo'] = 2 >>> d['forget'] = 3 >>> d['arfbag'] = 4 >>> d['a'] [4, 2, 1] >>> d['arf'] [2, 4] >>> d['oo'] [2, 1] >>> d['food'] [] ### SubstringDict provides a mapping that allows for substrings of keys. The keys do need to be strings though.
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