dLddlmZddlmZmZmZddlmZddlm Z ddddddZ ddddddZ ddddddZ ddddddZ dS)) annotations)CallableHashableSequence)is_none)Jarog?N prefix_weight processor score_cutoffs1Sequence[Hashable]s2r floatr (Callable[..., Sequence[Hashable]] | Noner float | Nonereturnct|st|rdS|||}||}|d}t|}t|}t||}d}t|d} t| D]} ||||krn|dz }|} | dkr'||z} | dkrd} nt d| | z | dz z } t j||| } | dkr| ||zd| z zz } | |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 gNrgffffff??)r )rlenminrangemaxr similarity)r rr r r P_lenT_lenmin_lenprefix max_prefix_jaro_score_cutoff prefix_simSims e/home/feoh/.local/pipx/venvs/poetry/lib/python3.11/site-packages/rapidfuzz/distance/JaroWinkler_py.pyrr scLr{{gbkks Yr]] Yr]] GGE GGE%G FWaJ :   f:F # # E! $3m+    #   #j#44c9IJ!!  /"b/@ A A AC Syy v %s33%%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 )rr rr r r s r&normalized_similarityr*Ys+L   #!    r'ct|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 rN)r r )rr)r rr r r cutoff_distancesimdists r&distancer/sLr{{gbkks Yr]] Yr]]%););# BT 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_distancer1s+L   #!    r') r rrrr rr rr rrr) __future__rtypingrrrrapidfuzz._utilsrrapidfuzz.distancerrr*r/r1r'r&r7s#"""""//////////$$$$$$######:>!% J-J-J-J-J-J-b:>!% ,,,,,,f:>!% 2K2K2K2K2K2Kr:>!% ,,,,,,,,r'