o UÌ h¿ã@stddlmZddlmZddlmZmZdd„Zdddœdd „Zdddœd d „Z dddœd d „Z dddœdd„Z dS)é)Ú annotations)Úconv_sequences)Úis_noneÚ setupPandascCs°tt|ƒt|ƒƒd}i}|j}t|ƒd}|g|}|g|}tt|ƒƒ}||d<tdt|ƒdƒD]ž} ||}}d} |d} | |d<|} tdt|ƒdƒD]y} || d|| d|| dk}|| dd}|| d}t|||ƒ}|| d|| dkr| } || d|| <| } n0||| ddƒ}| }| |dkr¯|| | |}t||ƒ}n| |dkrÀ| | |}t||ƒ}|| } ||| <qO| ||| d<q3|t|ƒS)Néééÿÿÿÿr)ÚmaxÚlenÚgetÚlistÚrangeÚmin)Ús1Ús2ÚmaxValÚ last_row_idÚlast_row_id_getÚsizeÚFRÚR1ÚRÚiÚ last_col_idÚ last_i2l1ÚTÚjÚdiagÚleftÚupÚtempÚkÚlÚ transpose©r$ú|/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/rapidfuzz/distance/DamerauLevenshtein_py.pyÚ"_damerau_levenshtein_distance_zhao sF     $         r&N)Ú processorÚ score_cutoffcCsL|dur ||ƒ}||ƒ}t||ƒ\}}t||ƒ}|dus ||kr"|S|dS)a« Calculates the Damerau-Levenshtein 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 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 Examples -------- Find the Damerau-Levenshtein distance between two strings: >>> from rapidfuzz.distance import DamerauLevenshtein >>> DamerauLevenshtein.distance("CA", "ABC") 2 Nr)rr&)rrr'r(Údistr$r$r%Údistance7s & r*cCsb|dur ||ƒ}||ƒ}t||ƒ\}}tt|ƒt|ƒƒ}t||ƒ}||}|dus-||kr/|SdS)a* Calculates the Damerau-Levenshtein similarity in the range [max, 0]. This is calculated as ``max(len1, len2) - 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 ------- similarity : int similarity between s1 and s2 Nr)rr r r*)rrr'r(Úmaximumr)Úsimr$r$r%Ú similarityfs  r-cCs„tƒt|ƒs t|ƒr dS|dur||ƒ}||ƒ}t||ƒ\}}tt|ƒt|ƒƒ}t||ƒ}|r4||nd}|dus>||kr@|SdS)a@ Calculates a normalized Damerau-Levenshtein distance in the range [1, 0]. This is calculated as ``distance / max(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 çð?Nrr)rrrr r r*)rrr'r(r+r)Ú norm_distr$r$r%Únormalized_distance‘s r0cCsjtƒt|ƒs t|ƒr dS|dur||ƒ}||ƒ}t||ƒ\}}t||ƒ}d|}|dus1||kr3|SdS)a: Calculates a normalized Damerau-Levenshtein 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.r)rrrr0)rrr'r(r/Únorm_simr$r$r%Únormalized_similarity¿s r2) Ú __future__rÚrapidfuzz._common_pyrÚrapidfuzz._utilsrrr&r*r-r0r2r$r$r$r%Ús  2 û3 û/ û2û