📄 leditdist.hpp
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#ifndef __aspeller_leditdist_hh__#define __aspeller_leditdist_hh__#include "weights.hpp"namespace aspeller { // limit_edit_distance finds the shortest edit distance but will // stop and return a number at least as large as LARGE_NUM if it has // to do more edits than a set limit. // Note that this does NOT bean than the score returned <= limit*w.max // as sub vs submarine will return 6*(cost of insertion) no matter what // the limit is. // The edit distance is // (cost of swap)(# of swaps) + (cost of deletion)(# of deletions) // + (cost of insertion)(# of insertions) // + (cost of substitutions)(# of substitutions) // Preconditions: // (limit+1)*w.min < limit*w.max // limit <= 5 (use edit_distance if n > 5) // The running time is asymptotically bounded above by // (3^l)*n where l is the limit and n is the maxium of strlen(a),strlen(b) // Based ob my informal tests however the n does not really matter // and the running time is more like (3^l). // limit_edit_distance, based on my informal tests, turns out to be // faster than edit_dist for l < 5. For l == 5 it is about the // smaller for short strings (<= 5) and less than for longer strings // limit2_edit_distance(a,b,w) = limit_edit_distance(a,b,2,w) // but is roughly 2/3's faster static const int LARGE_NUM = 0xFFFFF; int limit_edit_distance(const char * a, const char * b, int limit, const EditDistanceWeights & w = EditDistanceWeights()); int limit2_edit_distance(const char * a, const char * b, const EditDistanceWeights & w = EditDistanceWeights()); }#endif
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