o U hy#@sddlmZddlmZddlmZmZddlmZm Z dddddd Z ddddd d Z ddddd d Z ddddddZ dddddZdddddZdS)) annotations)conv_sequences)is_none setupPandas)EditopEditopsTN)pad processor score_cutoffc Cs|dur ||}||}t||\}}|s#t|t|kr#d}t|tt|t|}tt|t|}t|D] }|||||k8}q9|dusN||krP|S|dS)a Calculates the Hamming distance between two strings. The hamming distance is defined as the number of positions where the two strings differ. It describes the minimum amount of substitutions required to transform s1 into s2. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. pad : bool, optional should strings be padded if there is a length difference. If pad is False and strings have a different length a ValueError is thrown instead. Defaults is True. 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 Raises ------ ValueError If s1 and s2 have a different length N"Sequences are not the same length.)rlen ValueErrorminmaxrange) s1s2rr r msgmin_lendistirq/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/rapidfuzz/distance/Hamming_py.pydistance s+ rcCsf|dur ||}||}t||\}}tt|t|}t|||d}||}|dus/||kr1|SdS)a. Calculates the Hamming 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. pad : bool, optional should strings be padded if there is a length difference. If pad is False and strings have a different length a ValueError is thrown instead. Defaults is True. 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 Raises ------ ValueError If s1 and s2 have a different length Nrr)rrr r)rrrr r maximumrsimrrr similarityGs*rcCstt|s t|r dS|dur||}||}t||\}}tt|t|}t|||d}|r6||nd}|dus@||krB|SdS)aU Calculates a normalized Hamming 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. pad : bool, optional should strings be padded if there is a length difference. If pad is False and strings have a different length a ValueError is thrown instead. Defaults is True. 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 Raises ------ ValueError If s1 and s2 have a different length g?Nrr)rrrrr r)rrrr r rr norm_distrrrnormalized_distance}s)r cCsXtt|s t|r dSt||\}}t||||d}d|}|dus(||kr*|SdS)aO Calculates a normalized Hamming 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. pad : bool, optional should strings be padded if there is a length difference. If pad is False and strings have a different length a ValueError is thrown instead. Defaults is True. 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 Raises ------ ValueError If s1 and s2 have a different length grr r N)rrrr )rrrr r rnorm_simrrrnormalized_similaritys)r#r!c Cs|dur ||}||}t||\}}|s#t|t|kr#d}t|g}tt|t|}t|D]}||||krE|td||q2t|t|D] }|td|t|qMt|t|D] }|tdt||qbtt}t||_ t||_ ||_ |S)a Return Editops describing how to turn s1 into s2. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. pad : bool, optional should strings be padded if there is a length difference. If pad is False and strings have a different length a ValueError is thrown instead. Defaults is True. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. Returns ------- editops : Editops edit operations required to turn s1 into s2 Nr replacedeleteinsert) rr rrrappendrr__new___src_len _dest_len_editops) rrrr rops_listrropsrrreditopss,    r.cCst||||dS)a Return Opcodes describing how to turn s1 into s2. Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. pad : bool, optional should strings be padded if there is a length difference. If pad is False and strings have a different length a ValueError is thrown instead. Defaults is True. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. Returns ------- opcodes : Opcodes edit operations required to turn s1 into s2 r!)r. as_opcodes)rrrr rrropcodes%sr0) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrr!rapidfuzz.distance._initialize_pyrrrrr r#r.r0rrrrs4   A : = 8 ?