a y Àh¿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]B} ||}}d} |d} | |d<|} tdt|ƒdƒD]ø} || d|| d|| dk}|| dd}|| d}t|||ƒ}|| d|| dkr$| } || d|| <| } nd||| ddƒ}| }| |dkrd|| | |}t||ƒ}n$| |dkrˆ| | |}t||ƒ}|| } ||| <q | ||| d<qf|t|ƒS)Néééÿÿÿÿr)ÚmaxÚlenÚgetÚlistÚrangeÚmin)Ús1Ús2ZmaxValZ last_row_idZlast_row_id_getÚsizeZFRZR1ÚRÚiZ last_col_idZ last_i2l1ÚTÚjZdiagÚleftÚupÚtempÚkÚlZ transpose©rúd/var/www/html/assistant/venv/lib/python3.9/site-packages/rapidfuzz/distance/DamerauLevenshtein_py.pyÚ"_damerau_levenshtein_distance_zhao sF     $      rN)Ú processorÚ score_cutoffcCsL|dur||ƒ}||ƒ}t||ƒ\}}t||ƒ}|dus@||krD|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)rrrrÚdistrrrÚdistance7s & r!cCsb|dur||ƒ}||ƒ}t||ƒ\}}tt|ƒt|ƒƒ}t||ƒ}||}|dusZ||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!)rrrrÚmaximumr ÚsimrrrÚ similarityfs  r$cCs„tƒt|ƒst|ƒrdS|dur2||ƒ}||ƒ}t||ƒ\}}tt|ƒt|ƒƒ}t||ƒ}|rh||nd}|dus|||kr€|SdS)a@ Calculates a normalized Damerau-Levenshtein distance in the range [1, 0]. This is calculated as ``distance / max(len1, len2)``. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For norm_dist > score_cutoff 1.0 is returned instead. Default is 1.0, which deactivates this behaviour. Returns ------- norm_dist : float normalized distance between s1 and s2 as a float between 0 and 1.0 çð?Nrr)rrrr r r!)rrrrr"r Ú norm_distrrrÚnormalized_distance‘s r'cCsjtƒt|ƒst|ƒrdS|dur2||ƒ}||ƒ}t||ƒ\}}t||ƒ}d|}|dusb||krf|SdS)a: Calculates a normalized Damerau-Levenshtein similarity in the range [0, 1]. This is calculated as ``1 - normalized_distance`` Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For norm_sim < score_cutoff 0 is returned instead. Default is 0, which deactivates this behaviour. Returns ------- norm_sim : float normalized similarity between s1 and s2 as a float between 0 and 1.0 gNr%r)rrrr')rrrrr&Znorm_simrrrÚnormalized_similarity¿s r() Ú __future__rZrapidfuzz._common_pyrZrapidfuzz._utilsrrrr!r$r'r(rrrrÚs  2û 3û /û 2û