NgQzddlmZddlmZddlmZmZddlmZ dddddZ ddddd Z ddddd Z ddddd Z dS) ) annotations)conv_sequences)is_none setupPandas)Jaro_pyg?N prefix_weight processor score_cutoffctt|st|rdS|||}||}|d}|dks|dkrd}t|t||\}}t |}t |}t ||}d} t |d} t | D]} || || krn| dz } |} | dkr'| |z} | dkrd} ntd| | z | dz z } tj ||| }|dkr|| |zd|z zz }t |d}||kr|ndS) 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 gNr?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 ]/var/www/html/ai-engine/env/lib/python3.11/site-packages/rapidfuzz/distance/JaroWinkler_py.pyrr sLMMMr{{gbkks Yr]] Yr]] smc11>oo B # #FB GGE GGE%G FWaJ :   f:F # # E! $3m+    #   #C*7H*HZZ]M])^ _ _  /"b/@ A A AC Syy v %s33#smm%%331,c*t|||||S)a Calculates the normalized jaro winkler similarity Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized similarity : float normalized similarity between s1 and s2 as a float between 0 and 1.0 Raises ------ ValueError If prefix_weight is invalid r)rrrr r r s r#normalized_similarityr'\s+L   #!    r$ctt|st|rdS|||}||}||dkrdnd|z }t||||}d|z }|||kr|ndS)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,sLMMMr{{gbkks Yr]] Yr]]+3|c7I7IddPSVbPbO R= W W WC 9D (DL,@,@44sJr$c*t|||||S)a Calculates the normalized jaro winkler distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized distance : float normalized distance between s1 and s2 as a float between 1.0 and 0.0 Raises ------ ValueError If prefix_weight is invalid r)r,r&s r#normalized_distancer.s+L   #!    r$) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrapidfuzz.distancerrrr'r,r.r$r#r4s#"""""//////11111111...... O-O-O-O-O-l ,,,,,f 1K1K1K1K1Kp ,,,,,,,r$