U -e}@sddlmZddlmZmZmZddlmZddlm Z ddl m Z ddddd d d d d d d ddZ ddddd d d d d d d ddZddddd d d d d d d ddZddddd d d d d d d ddZdS)) annotations)CallableHashableSequence)conv_sequences)is_none)Jaro_pyg?N prefix_weight processor score_cutoffzSequence[Hashable]floatz(Callable[..., Sequence[Hashable]] | Nonez float | None)s1s2r r r returncCst|st|rdS|dk r,||}||}|dkr8d}t||\}}t|}t|}t||}d}t|d} t| D] } ||||krq|d7}qv|} | dkr||} | dkrd} ntd| | | 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)rrr r r ZP_lenZT_lenmin_lenprefixZ max_prefix_Zjaro_score_cutoffZ prefix_simZSimrb/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/rapidfuzz/distance/JaroWinkler_py.pyr s6&    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 )rrrr r r rrrnormalized_similarityYs&r cCsxt|st|rdS|dk r,||}||}|dks<|dkr@dnd|}t||||d}d|}|dksp||krt|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)rrr r 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$) __future__rtypingrrrZrapidfuzz._common_pyrZrapidfuzz._utilsrZrapidfuzz.distancerrrr r#r$rrrrs(    P37