k*ikrSSKJr SSKJr SSKJrJr SrSSS.SjrSSS.Sjr SSS.S jr SSS.S jr g) ) annotations)conv_sequences)is_none setupPandascU(d [U5$S[U5-S- nSnSnSn[U5nS[U5S- -n0nURn Sn UHn U "U S5U -X'U S-n M UHhn U "U S5n U)U -S-U-nX-U-U- U -U-nXN-nX4U-)-nXB-nXoU-S:g- nUUU-S:g-nUS-S-nUS-nUXO-)-nX-nU nMj U$)Nr)lenget)s1s2VPVND0PM_j_oldcurrDistmaskblock block_getxch1ch2PM_jTRHPHNs Y/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/rapidfuzz/distance/OSA_py.py_osa_distance_hyrroe2003r sF 2w s2w,! B B BH2wH R1 D E I AsA&*  aa t|!X - R2% - 2 WG*_ W $Y1$$R$Y1$$Ag] 1W BG*_ W), ON) processor score_cutoffcvUbU"U5nU"U5n[X5up[X5nUbXC::aU$US-$)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 r)rr)r r rr dists rdistancer#4sNP r] r] B #FB #B +D (D,@4W|VWGWWrcUbU"U5nU"U5n[X5up[[U5[U55n[X5nXE- nUbXc:aU$S$)a 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 r)rmaxr r#)r r rr maximumr"sims r similarityr(esc@ r] r] B #FB#b'3r7#G B D .C'3+>3FQFrc[5 [U5(d[U5(agUbU"U5nU"U5n[X5up[[ U5[ U55n[ X5nU(aXT- OSnUbXc::aU$S$)a 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 ?rr)rrrr%r r#)r r rr r&r" norm_dists rnormalized_distancer,s>Mr{{gbkk r] r] B #FB#b'3r7#G B D")qI%-1J9RQRRrc[5 [U5(d[U5(agUbU"U5nU"U5n[X5up[X5nSU- nUbXS:aU$S$)a 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 gr*r)rrrr,)r r rr r+norm_sims rnormalized_similarityr/si>Mr{{gbkk r] r] B #FB#B+IYH$,0H8PqPr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrr#r(r,r/rrr4sQ#/1(^ .Xj (G^ +Sd *Qr