o U h@slddlmZddlmZddlmZmZdddddZddddd Zdddd d Z dddd d Z dS)) annotations)conv_sequences)is_none setupPandasN) processor score_cutoffcCsf|dur ||}||}t||\}}tt|t|}t||}||}|dus-||kr/|S|dS)a Calculates the postfix 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 N)rmaxlen similarity)s1s2rrmaximumsimdistrq/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/rapidfuzz/distance/Postfix_py.pydistance s rcCsr|dur ||}||}t||\}}d}tt|t|D]\}}||kr(n|d7}q|dus5||kr7|SdS)a  Calculates the postfix 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 Nrr)rzipreversed)r r rrrch1ch2rrrr 3s  r cCsHtt|s t|r dSt|||d}d|}|dus ||kr"|SdS)a4 Calculates a normalized postfix 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 ?)rN)rrnormalized_similarity)r r rrnorm_sim norm_distrrrnormalized_distanceas rcCstt|s t|r dS|dur||}||}t||\}}tt|t|}t||}|r4||nd}|dus>||kr@|SdS)a. Calculates a normalized postfix 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 gNr)rrrr r r )r r rrrrrrrrrs r) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrr rrrrrrs   . 2 -