NgfddlmZddlmZddlmZmZddddZddddZddddZ dddd Z dS) ) annotations)conv_sequences)is_none setupPandasN) processor score_cutoffc|||}||}t||\}}tt|t|}t||}||z }|||kr|n|dzS)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 N)rmaxlen similarity)s1s2rrmaximumsimdists Y/var/www/html/ai-engine/env/lib/python3.11/site-packages/rapidfuzz/distance/Postfix_py.pydistancer s< Yr]] Yr]] B # #FB#b''3r77##G R  C S=D (DL,@,@44|VWGWWc|||}||}t||\}}d}tt|t|D]\}}||krn|dz }|||kr|ndS)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 Nrr )rzipreversed)rrrrrch1ch2s rr r 3s@ Yr]] Yr]] B # #FB C hrll33S #:: E q'3,+>+>33QFrctt|st|rdSt|||}d|z }|||kr|ndS)a4 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)rrrrnorm_sim norm_dists rnormalized_distancer asd>MMMr{{gbkks$RyAAAHhI%-l1J1J99QTTrcRtt|st|rdS|||}||}t||\}}tt |t |}t ||}|r||z nd}|||kr|ndS)a. Calculates a normalized postfix similarity in the range [0, 1]. This is calculated as ``1 - normalized_distance`` Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For norm_sim < score_cutoff 0 is returned instead. Default is 0, which deactivates this behaviour. Returns ------- norm_sim : float normalized similarity between s1 and s2 as a float between 0 and 1.0 gNr)rrrr r r )rrrrrrrs rrrs>MMMr{{gbkks Yr]] Yr]] B # #FB#b''3r77##G R  C '0sW}}SH$,L0H0H88sRr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrr r rrrr&s#"""""//////11111111 'X'X'X'X'X\ +G+G+G+G+Gd &U&U&U&U&UZ ,S,S,S,S,S,S,Sr