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Ukkonen's suffix tree algorithm, a complete version implemented in Python

Home Page: http://mutux.com

License: MIT License

Python 100.00%
string algorithm python suffix-tree ukkonen-algorithm

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ukkonen-s-suffix-tree-algorithm's Issues

O(n^2) time complexity due to list copy

There is a copy of list in unfold function. It leads to O(len(remains)) time complexity for this operation. And due to being inside while remainder > 0 this gains O(n^2) time complexity for the whole implementation (e.g. for "aaaaab").

Uses Python 2 syntax

I tried to translate to Python 3 but the meaning of the double parentheses in the setoutedge definition eludes me.

def setoutedge(self, key, (anode, label_start_index, label_end_index, bnode)):

I guessed it would mean

def setoutedge(self, key, anode=None, label_start_index=None, label_end_index=None, bnode=None):

but implementing this change just broke the code in new ways. Could you please explain what this definition means?

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