U ÿÌ-e\ã@sÆddlmZddlmZmZmZddlmZddlm Z ddddœdd „Z d d d œddd d ddœdd„Z d d d œddd d ddœdd„Z d d d œddd dddœdd„Z d d d œddd dddœdd„Zd S)é)Ú annotations)ÚCallableÚHashableÚSequence)Úconv_sequences)Úis_nonezSequence[Hashable]Úint)Ús1Ús2ÚreturncCs |s t|ƒSdt|ƒ>d}d}d}d}t|ƒ}dt|ƒd>}i}|j} d} |D]} | | dƒ| B|| <| dK} qR|D]¤} | | dƒ} || @d>|@}| |@||A| B|B}||B}|||BB}||@}|||@dk7}|||@dk8}|d>dB}|d>}|||BB}||@}| }qv|S)Nér)ÚlenÚget)r r ZVPZVNZD0ZPM_j_oldZcurrDistÚmaskÚblockZ block_getÚxZch1Zch2ZPM_jZTRZHPZHN©rúZ/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/rapidfuzz/distance/OSA_py.pyÚ_osa_distance_hyrroe2003 s:   rN)Ú processorÚ score_cutoffz(Callable[..., Sequence[Hashable]] | Nonez int | None)r r rrr cCsL|dk r||ƒ}||ƒ}t||ƒ\}}t||ƒ}|dks@||krD|S|dS)a¯ Calculates the optimal string alignment (OSA) 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 OSA distance between two strings: >>> from rapidfuzz.distance import OSA >>> OSA.distance("CA", "AC") 2 >>> OSA.distance("CA", "ABC") 3 Nr )rr)r r rrÚdistrrrÚdistance7s ( rcCsb|dk r||ƒ}||ƒ}t||ƒ\}}tt|ƒt|ƒƒ}t||ƒ}||}|dksZ||kr^|SdS)a5 Calculates the optimal string alignment (OSA) 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)rÚmaxr r)r r rrÚmaximumrÚsimrrrÚ similarityhs  rz float | NoneÚfloatcCs~t|ƒst|ƒrdS|dk r,||ƒ}||ƒ}t||ƒ\}}tt|ƒt|ƒƒ}t||ƒ}|rb||nd}|dksv||krz|SdS)aM Calculates a normalized optimal string alignment (OSA) similarity 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 r rrrrÚ norm_distrrrÚnormalized_distance“s r cCsdt|ƒst|ƒrdS|dk r,||ƒ}||ƒ}t||ƒ\}}t||ƒ}d|}|dks\||kr`|SdS)aE Calculates a normalized optimal string alignment (OSA) 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 gNrr)rrr )r r rrrZnorm_simrrrÚnormalized_similarityÀs r!)Ú __future__rÚtypingrrrZrapidfuzz._common_pyrZrapidfuzz._utilsrrrrr r!rrrrÚs   /û5û/û1û