9iddlmZddlmZmZmZddlmZddlm Z ddZ ddZ ddZ ddZ d d d  dd Zd d d  dd Zd d d  dd Zd d d  ddZy )) annotations)CallableHashableSequence)conv_sequences)is_nonecP|dz}d}|||z z }|||z z }|||z |z z }|dz S)Ng@) pattern_lentext_len common_charstranspositionssims d/var/www/html/backtest/airagagent/rag_env/lib/python3.12/site-packages/rapidfuzz/distance/Jaro_py.py_jaro_calculate_similarityr sMqN C<+ %%C<( ""CL> )\ 99C 9cF|r|syt||t||d}||k\S)zC filter matches below score_cutoff based on string lengths Fr)rmin)r r score_cutoffrs r_jaro_length_filterrs/ h $[(C X,00 hqk!    $K< VA X&!4 1h' A;AA !u1~q ! &k8\; WWrc t||||S)a Calculates the normalized jaro similarity Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. 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 r")r4rrr#rs rnormalized_similarityr7s: b" MMrct|s t|ry|||}||}||dkDrdnd|z }t|||}d|z }|||kr|SdS)a Calculates the jaro distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. 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 r%N)r)rr4)rrr#rcutoff_distancerdists rdistancer;st:r{gbk r] r]+3|c7IdPSVbPbO R/ :C 9D (DL,@4JsJrc t||||S)a Calculates the normalized jaro distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. 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 r")r;r6s rnormalized_distancer=s: Bil KKr) r intrr>rr>rr>returnr&)r r>rr>rr&r?bool) r r>rr>rr>rr&r?r@)rSequence[Hashable]rrAr?z2tuple[Sequence[Hashable], Sequence[Hashable], int]) rrArrAr#z(Callable[..., Sequence[Hashable]] | Nonerz float | Noner?r&) __future__rtypingrrrrapidfuzz._common_pyrrapidfuzz._utilsrrrrr!r4r7r;r=r rrrFs7#///$2;?!% VXVXVX8 VX  VX  VXz;?!% NNN8 N  N  NH;?!% 'K'K'K8 'K  'K  'K\;?!% LLL8 L  L  Lr