k*iQSSKJr SSKJr SSKJrJr SSKJr SSSS.Sjr SSSS.S jr SSSS.S jr SSSS.S jr g) ) annotations)conv_sequences)is_none setupPandas)Jaro_pyg?N prefix_weight processor score_cutoffcD[5 [U5(d[U5(agUbU"U5nU"U5nUcSnUS:dUS:a Sn[U5e[X5up[ U5n[ U5n[ Xg5nSn [ US5n [ U 5Hn X X:wa O U S- n M Un U S:a!X-n U S:aSn O[SX- U S- - 5n [R"XU S9nUS:aXU-SU- -- n[ US5nX:aU$S$) aO Calculates the jaro winkler similarity Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- similarity : float similarity between s1 and s2 as a float between 0 and 1.0 Raises ------ ValueError If prefix_weight is invalid gr?z.prefix_weight has to be in the range 0.0 - 1.0gffffff?)r ) rr ValueErrorrlenminrangemaxJaro similarity)s1s2r r r msgP_lenT_lenmin_lenprefix max_prefix_jaro_score_cutoff prefix_simSims a/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/rapidfuzz/distance/JaroWinkler_py.pyrr sHLMr{{gbkk r] r] smc1>o B #FB GE GE%G FWaJ :  : # !  %3+   #  #C**HZZ]M])^ _  //"/@ AC Sy %s33#sm%3,1,c[UUUUUS9$)ap Calculates the normalized jaro winkler similarity Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized similarity : float normalized similarity between s1 and s2 as a float between 0 and 1.0 Raises ------ ValueError If prefix_weight is invalid r)rrrr r r s r#normalized_similarityr'\s!L   #!  r$c[5 [U5(d[U5(agUbU"U5nU"U5nUbUS:aSOSU- n[XX%S9nSU- nUbXt::aU$S$)aK Calculates the jaro winkler distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : float distance between s1 and s2 as a float between 1.0 and 0.0 Raises ------ ValueError If prefix_weight is invalid r N)r r )rrr)rrr r r cutoff_distancesimdists r#distancer,szLMr{{gbkk r] r]+3|c7IdPSVbPbO R= WC 9D (D,@4JsJr$c[UUUUUS9$)al Calculates the normalized jaro winkler distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized distance : float normalized distance between s1 and s2 as a float between 1.0 and 0.0 Raises ------ ValueError If prefix_weight is invalid r)r,r&s r#normalized_distancer.s!L   #!  r$) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrapidfuzz.distancerrrr'r,r.r$r#r4sX#/1. O-l ,f 1Kp ,r$