k*iSSKJr SSKJr SSKJrJr SrSrSr Sr SSS .S jr SSS .S jr SSS .S jr SSS .S jrg)) annotations)conv_sequences)is_none setupPandascJUS-nSnXBU- - nXBU- - nXBU- U- - nUS- $)Ng@) pattern_lentext_len common_charstranspositionssims Z/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/rapidfuzz/distance/Jaro_py.py_jaro_calculate_similarityr sGqN C+ %%C( ""C> )\ 99C 9cTU(aU(dg[X[X5S5nX2:$)z; filter matches below score_cutoff based on string lengths Fr)rmin)r r score_cutoffrs r_jaro_length_filterrs) h $[C US- nME [XEU U5$)a Calculates the jaro similarity 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- similarity : float similarity between s1 and s2 as a float between 0 and 1.0 r ?rrFT) rrrrrfloatr enumeratemaxrrangerr)rrr!rr r rs1_flagss2_flagsr is1_chlowhijk trans_counts1_fs r similarityr2=s:Mr{{gbkk r] r] b B #FBb'K2wH {l C CaHMRUbe^$$ (MBEw$Hw!HLbM!QY HqL )sF#A;;25E>,00 hk!  $" $K< V VA X&4 41';;AA(u1~q ' &k\; WWrc[XX#S9$)a Calculates the normalized jaro similarity 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized similarity : float normalized similarity between s1 and s2 as a float between 0 and 1.0 r )r2rrr!rs rnormalized_similarityr5s: b MMrc[5 [U5(d[U5(agUbU"U5nU"U5nUbUS:aSOSU- n[XUS9nSU- nUbXc::aU$S$)a} Calculates the jaro 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : float distance between s1 and s2 as a float between 1.0 and 0.0 r#N)r)rrr2)rrr!rcutoff_distancerdists rdistancer9sy:Mr{{gbkk r] r]+3|c7IdPSVbPbO R/ :C 9D (D,@4JsJrc[XX#S9$)a Calculates the normalized jaro 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 ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- normalized distance : float normalized distance between s1 and s2 as a float between 1.0 and 0.0 r )r9r4s rnormalized_distancer;s: Bi KKr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrrrrr2r5r9r;r rrr?s`#/12 WX| NH (K^ Lr