o ҷh}@sddlmZddlmZmZmZddlmZddlm Z ddl m Z dddddddZ dddddddZdddddddZdddddddZdS)) annotations)CallableHashableSequence)conv_sequences)is_none)Jaro_pyg?N prefix_weight processor score_cutoffs1Sequence[Hashable]s2r floatr (Callable[..., Sequence[Hashable]] | Noner float | NonereturncCs t|st|r dS|dur||}||}|durd}t||\}}t|}t|}t||}d}t|d} t| D]} ||||krGn|d7}q;|} | dkrh||} | dkr]d} n td| | | d} tj||| d} | dkr~| ||d| 7} | |kr| 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 gNrgffffff??)r )rrlenminrangemaxJaro similarity)r rr r r P_lenT_lenmin_lenprefix max_prefix_jaro_score_cutoff prefix_simSimr&T/var/www/html/venv/lib/python3.10/site-packages/rapidfuzz/distance/JaroWinkler_py.pyr s6&    rcCt|||||dS)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 r&r&r'normalized_similarityY&r*cCsxt|st|r dS|dur||}||}|dus|dkr dnd|}t||||d}d|}|dus8||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)r rr r r cutoff_distancesimdistr&r&r'distances&r/cCr()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)r&r&r'normalized_distancer+r0) r rrrr rr rr rrr) __future__rtypingrrrrapidfuzz._common_pyrrapidfuzz._utilsrrapidfuzz.distancerrrr*r/r0r&r&r&r's*    P37