[;jQxddlmZddlmZddlmZmZddlmZ dddddZ ddddd Z ddddd Z ddddd Z y) ) annotations)conv_sequences)is_none setupPandas)Jaro_pyg?N prefix_weight processor score_cutoffc2tt|s t|ry|||}||}|d}|dkDs|dkr d}t|t||\}}t |}t |}t ||}d} t |d} t | D]} || || k7rn| dz } |} | dkDr"| |z} | dk\rd} ntd| | z | dz z } tj||| }|dkDr|| |zd|z zz }t |d}||k\r|SdS) a 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 jG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\rapidfuzz/distance/JaroWinkler_py.pyrr sYLMr{gbk r] r] smc1>o B #FB GE GE%G FWaJ :  f:F # !  %3m+   #  #C*7H*HZZ]M])^ _  //"b/@ AC Sy v %s33#sm%3,1,c"t|||||S)a 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$ctt|s t|ry|||}||}||dkDrdnd|z }t||||}d|z }|||kr|SdS)a Calculates the jaro winkler distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : float distance between s1 and s2 as a float between 1.0 and 0.0 Raises ------ ValueError If prefix_weight is invalid r N)r r )rrr)rrr r r cutoff_distancesimdists r#distancer,s|LMr{gbk r] r]+3|c7IdPSVbPbO R= WC 9D (DL,@4JsJr$c"t|||||S)a 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$