o U 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_cutoffcCs8tt|s t|r dS|dur||}||}|durd}|dks'|dkr-d}t|t||\}}t|}t|}t||}d} t|d} t| D]} || || krXn| d7} qL|} | dkry| |} | dkrnd} n td| | | d} tj ||| d }|dkr|| |d|7}t|d}||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 gNr?z.prefix_weight has to be in the range 0.0 - 1.0gffffff?)r ) rr ValueErrorrlenminrangemaxJaro similarity)s1s2rr r msgP_lenT_lenmin_lenprefix max_prefix_jaro_score_cutoff prefix_simSimr!u/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/rapidfuzz/distance/JaroWinkler_py.pyr s@&     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)rrrrr r r!r!r"normalized_similarity\&r%cCs~tt|s t|r dS|dur||}||}|dus!|dkr#dnd|}t||||d}d|}|dus;||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 r N)rr )rrr)rrrr 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&r+) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrapidfuzz.distancerrrr%r*r+r!r!r!r"s(    V 3 8