NgklddlmZddlmZddlmZmZdZddddZddddZ dddd Z dddd Z dS) ) annotations)conv_sequences)is_none setupPandasc|st|Sdt|zdz }d}d}d}t|}dt|dz z}i}|j} d} |D]} | | d| z|| <| dz} |D]s} | | d} || zdz|z}| |z|z|z | z|z}||z}|||zz}||z}|||zdkz }|||zdkz}|dzdz}|dz}|||zz}||z}| }t|S)Nr)lenget)s1s2VPVND0PM_j_oldcurrDistmaskblock block_getxch1ch2PM_jTRHPHNs U/var/www/html/ai-engine/env/lib/python3.11/site-packages/rapidfuzz/distance/OSA_py.py_osa_distance_hyrroe2003r su 2ww s2ww,! B B BH2wwH R1 D E I AYsA&&*c  aya  t|!X -r R2% - 2 "WBG*_ "W R$Y1$$R$Y1$$Ag] 1W BG*_ "W ON) processor score_cutoffc|||}||}t||\}}t||}|||kr|n|dzS)a Calculates the optimal string alignment (OSA) 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 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 Examples -------- Find the OSA distance between two strings: >>> from rapidfuzz.distance import OSA >>> OSA.distance("CA", "AC") 2 >>> OSA.distance("CA", "ABC") 3 Nr)rr)r r rr dists rdistancer#4sfP Yr]] Yr]] B # #FB #B + +D (DL,@,@44|VWGWWrc|||}||}t||\}}tt|t|}t||}||z }|||kr|ndS)a5 Calculates the optimal string alignment (OSA) similarity in the range [max, 0]. This is calculated as ``max(len1, len2) - 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 ------- similarity : int similarity between s1 and s2 Nr)rmaxr r#)r r rr maximumr"sims r similarityr(es@ Yr]] Yr]] B # #FB#b''3r77##G B  D D.C'3,+>+>33QFrcRtt|st|rdS|||}||}t||\}}tt |t |}t ||}|r||z nd}|||kr|ndS)aM Calculates a normalized optimal string alignment (OSA) similarity in the range [1, 0]. This is calculated as ``distance / max(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 ?Nrr)rrrr%r r#)r r rr r&r" norm_dists rnormalized_distancer,s>MMMr{{gbkks Yr]] Yr]] B # #FB#b''3r77##G B  D")0wqI%-l1J1J99QRRrctt|st|rdS|||}||}t||\}}t||}d|z }|||kr|ndS)aE Calculates a normalized optimal string alignment (OSA) 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*r)rrrr,)r r rr r+norm_sims rnormalized_similarityr/s>MMMr{{gbkks Yr]] Yr]] B # #FB#B++IYH$,L0H0H88qPr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrr#r(r,r/rrr4s#"""""//////11111111(((^ .X.X.X.X.Xj (G(G(G(G(G^ +S+S+S+S+Sd *Q*Q*Q*Q*Q*Q*Qr