+ ʇiQ^RIHt^RIHt^RIHtHt^RIHt RRRRR R/R lt RRRRR R/R lt RRRRR R/R lt RRRRR R/R lt R#)) annotations)conv_sequences)is_none setupPandas)Jaro_py prefix_weightg? processorN score_cutoffc\4\V4'g\V4'dR#VeV!V4pV!V4pVf^pVR8gVR8dRp\V4h\W4wr\ V4p\ V4p\ Wg4p^p \ V^4p \ V 4F!p W ,W,8wdM V ^, p K# Tp V R8d3W,p V R8dRp M \RW, V R, , 4p \P!WV R7pVR8d*WV,RV, ,, p\ VR4pW8dV#^#)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 g?z.prefix_weight has to be in the range 0.0 - 1.0gffffff?)r ) rr ValueErrorrlenminrangemaxJaro similarity)s1s2rr r msgP_lenT_lenmin_lenprefix max_prefix_jaro_score_cutoff prefix_simSims&&$$$ v/Users/max/.openclaw/workspace/postharvest/merge_env/lib/python3.14/site-packages/rapidfuzz/distance/JaroWinkler_py.pyrr sHLMr{{gbkk r] r] smc1>o B #FB GE GE%G FWaJ :  : # !  %3+   #  #C**HZZ]M])^ _  //"/@ AC Sy %s33#sm%3,1,c"\VVVVVR7#)ap Calculates the normalized jaro winkler similarity Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized similarity : float normalized similarity between s1 and s2 as a float between 0 and 1.0 Raises ------ ValueError If prefix_weight is invalid rr r )rrrrr r s&&$$$r normalized_similarityr%\s!L   #!  r!c\4\V4'g\V4'dR#VeV!V4pV!V4pVeVR8dRMRV, p\WW%R7pRV, pVeWt8:dV#R#)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)rr )rrr)rrrr r cutoff_distancesimdists&&$$$ r distancer*szLMr{{gbkk r] r]+3|c7IdPSVbPbO R= WC 9D (D,@4JsJr!c"\VVVVVR7#)al Calculates the normalized jaro winkler distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized distance : float normalized distance between s1 and s2 as a float between 1.0 and 0.0 Raises ------ ValueError If prefix_weight is invalid r#)r*r$s&&$$$r normalized_distancer,s!L   #!  r!) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrapidfuzz.distancerrrr%r*r,r!r r2s#/1.O- O-  O-  O-d, ,  ,  ,^1K 1K  1K  1Kh, ,  ,  ,r!