+ ʇiv^RIHt^RIHt^RIHtHtRRRR/RltRRRR/RltRRRR/R lt RRRR/R lt R#) ) annotations)conv_sequences)is_none setupPandas processorN score_cutoffcVeV!V4pV!V4p\W4wr\\V4\V44p\W4pWE, pVeWc8:dV#V^,#)a Calculates the postfix distance between two strings. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : int or None, optional Maximum distance between s1 and s2, that is considered as a result. If the distance is bigger than score_cutoff, score_cutoff + 1 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : int distance between s1 and s2 )rmaxlen similarity)s1s2rrmaximumsimdists&&$$ r/Users/max/.openclaw/workspace/postharvest/merge_env/lib/python3.14/site-packages/rapidfuzz/distance/Postfix_py.pydistancer sh< r] r] B #FB#b'3r7#G R C =D (D,@4W|VWGWWcVeV!V4pV!V4p\W4wr^p\\V4\V44FwrVWV8wdM V^, pK VeWC8dV#^#)a Calculates the postfix similarity between two strings. This is calculated as ``len1 - distance``. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : int, optional Maximum distance between s1 and s2, that is considered as a result. If the similarity is smaller than score_cutoff, 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : int distance between s1 and s2 )rzipreversed)r rrrrch1ch2s&&$$ rr r 3sq@ r] r] B #FB C hrl3 :  q4  '3+>3FQFrc\4\V4'g\V4'dR#\WVR7pRV, pVeWS8:dV#R#)a Calculates a normalized postfix similarity in the range [1, 0]. This is calculated as ``distance / (len1 + len2)``. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For norm_dist > score_cutoff 1.0 is returned instead. Default is 1.0, which deactivates this behaviour. Returns ------- norm_dist : float normalized distance between s1 and s2 as a float between 0 and 1.0 ?)r)rrnormalized_similarity)r rrrnorm_sim norm_dists&&$$ rnormalized_distancerasH>Mr{{gbkk$RyAHhI%-1J9TQTTrc2\4\V4'g\V4'dR#VeV!V4pV!V4p\W4wr\\ V4\ V44p\ W4pV'd WT, MRpVeWc8dV#R#)a Calculates a normalized postfix similarity in the range [0, 1]. This is calculated as ``1 - normalized_distance`` Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For norm_sim < score_cutoff 0 is returned instead. Default is 0, which deactivates this behaviour. Returns ------- norm_sim : float normalized similarity between s1 and s2 as a float between 0 and 1.0 gr)rrrr r r )r rrrrrrs&&$$ rrrs>Mr{{gbkk r] r] B #FB#b'3r7#G R C 's}SH$,0H8RsRr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrr rrrrr%s#/1'X 'X  'XT+G +G  +G\&U &U  &UR,S ,S  ,Sr