[;jdddlmZddlmZddlmZmZddddZddddZddddZ dddd Z y) ) annotations)conv_sequences)is_none setupPandasN) processor score_cutoffc|||}||}t||\}}tt|t|}t||}||z }|||kr|S|dzS)a Calculates the Prefix distance between two strings. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : int or None, optional Maximum distance between s1 and s2, that is considered as a result. If the distance is bigger than score_cutoff, score_cutoff + 1 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : int distance between s1 and s2 )rmaxlen similarity)s1s2rrmaximumsimdists eG:\00. PROJECTS\API\Inventory\templateJSON\kerjaOCR\Lib\site-packages\rapidfuzz/distance/Prefix_py.pydistancer sr< r] r] B #FB#b'3r7#G R C S=D (DL,@4W|VWGWWc|||}||}t||\}}d}t||D]\}}||k7rn|dz }|||k\r|SdS)a  Calculates the prefix similarity between two strings. This is calculated as ``len1 - distance``. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : int, optional Maximum distance between s1 and s2, that is considered as a result. If the similarity is smaller than score_cutoff, 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : int distance between s1 and s2 rr )rzip)rrrrrch1ch2s rr r 3sr@ r] r] B #FB CBKS #:  q  '3,+>3FQFrctt|s t|ryt|||}d|z }|||kr|SdS)a3 Calculates a normalized prefix similarity in the range [1, 0]. This is calculated as ``distance / (len1 + len2)``. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. 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 norm_dist > score_cutoff 1.0 is returned instead. Default is 1.0, which deactivates this behaviour. Returns ------- norm_dist : float normalized distance between s1 and s2 as a float between 0 and 1.0 ?)r)rrnormalized_similarity)rrrrnorm_sim norm_dists rnormalized_distancerasH>Mr{gbk$RyAHhI%-l1J9TQTTrctt|s t|ry|||}||}t||\}}tt |t |}t ||}|r||z nd}|||k\r|SdS)a- Calculates a normalized prefix similarity in the range [0, 1]. This is calculated as ``1 - normalized_distance`` Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For norm_sim < score_cutoff 0 is returned instead. Default is 0, which deactivates this behaviour. Returns ------- norm_sim : float normalized similarity between s1 and s2 as a float between 0 and 1.0 gr)rrrr r r )rrrrrrrs rrrs>Mr{gbk r] r] B #FB#b'3r7#G R C 'sW}SH$,L0H8RsRr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrr rrrrr%sK#/1 'X\ +Gd &UZ ,Sr