9i}ddlmZddlmZmZmZddlmZddlm Z ddl m Z dddd d d Z dddd d d Zdddd d d Zdddd d d Zy)) annotations)CallableHashableSequence)conv_sequences)is_none)Jaro_pyg?N prefix_weight processor score_cutoffct|s t|ry|||}||}|d}t||\}}t|}t|}t||}d}t|d} t | D]} ||||k7rn|dz }|} | dkDr"||z} | dk\rd} nt d| | z | dz z } t j||| } | dkDr| ||zd| z zz } | |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 grgffffff??)r )rrlenminrangemaxJaro similarity)s1s2r r r P_lenT_lenmin_lenprefix max_prefix_jaro_score_cutoff prefix_simSims k/var/www/html/backtest/airagagent/rag_env/lib/python3.12/site-packages/rapidfuzz/distance/JaroWinkler_py.pyrr s0Lr{gbk r] r] B #FB GE GE%G FWaJ :  f:F # !  %3m+   #  #C*7H*HZZ]M])^ _  //"b/@ AC Sy v %s33%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'Ys!L   #!  r$ct|s t|ry|||}||}||dkDrdnd|z }t||||}d|z }|||kr|SdS)a Calculates the jaro winkler distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. prefix_weight : float, optional Weight used for the common prefix of the two strings. Has to be between 0 and 0.25. Default is 0.1. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : float distance between s1 and s2 as a float between 1.0 and 0.0 Raises ------ ValueError If prefix_weight is invalid rN)r r )rr)rrr r r cutoff_distancesimdists r#distancer,swLr{gbk r] r]+3|c7IdPSVbPbO R= WC 9D (DL,@4JsJr$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$) rSequence[Hashable]rr/r floatr z(Callable[..., Sequence[Hashable]] | Noner z float | Nonereturnr0) __future__rtypingrrrrapidfuzz._common_pyrrapidfuzz._utilsrrapidfuzz.distancer rrr'r,r.r$r#r8sJ#///$.:>!% I-I-I- I- 8 I-  I- I-`:>!% ,,, , 8 ,  , ,f:>!% 0K0K0K 0K 8 0K  0K 0Kn:>!% ,,, , 8 ,  , ,r$