a y hQ@sddlmZddlmZddlmZmZddlmZ dddddd Z ddddd d Z ddddd d Z ddddddZ dS)) annotations)conv_sequences)is_none setupPandas)Jaro_pyg?N prefix_weight processor score_cutoffcCs<tt|st|rdS|dur2||}||}|dur>d}|dksN|dkrZd}t|t||\}}t|}t|}t||}d} t|d} t| D] } || || krq| d7} q|} | dkr| |} | dkrd} ntd| | | d} tj ||| d }|dkr*|| |d|7}t|d}||kr8|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 gNr?z.prefix_weight has to be in the range 0.0 - 1.0gffffff?)r ) rr ValueErrorrlenminrangemaxJaro similarity)s1s2rr r msgZP_lenZT_lenZmin_lenprefixZ max_prefix_Zjaro_score_cutoffZ prefix_simZSimr]/var/www/html/assistant/venv/lib/python3.9/site-packages/rapidfuzz/distance/JaroWinkler_py.pyr s@&      rcCst|||||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)rrrrr r rrrnormalized_similarity\s&rcCs~tt|st|rdS|dur2||}||}|dusB|dkrFdnd|}t||||d}d|}|dusv||krz|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 r N)rr )rrr)rrrr r Zcutoff_distancesimdistrrrdistances&r cCst|||||dS)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 rrrrnormalized_distances&r!) __future__rZrapidfuzz._common_pyrZrapidfuzz._utilsrrZrapidfuzz.distancerrrrr r!rrrrs&    V 3 8