+ hcs^RIHt^RIHt^RIHtHtRtRtRt Rt RR R R /R lt RR R R /R lt RR R R /R lt RR R R /RltR #)i) annotations)conv_sequences)is_none setupPandascsV^,pRpWBV, , pWBV, , pWBV, V, , pVR, #)ig@) pattern_lentext_len common_charsZtranspositionssim&&&& A/usr/lib64/python3.14/site-packages/rapidfuzz/distance/Jaro_py.py_jaro_calculate_similarityr sGqN C+ %%C( ""C> )\ 99C 9csZV'd V'gR#\W\W4^4pW28#)z; filter matches below score_cutoff based on string lengths F)r min)rr score_cutoffr s&&& r _jaro_length_filterrs) h $[C ,00 hk!  $" $K< V VA X&4 41';;AA(u1~q ' &k\; WWr c\WW#R7#)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 rr)rrrrr&&$$r normalized_similarityrs: b MMr cs\4\V4'g\V4'dR#VeV!V4pV!V4pVeVR8dRMRV, p\WVR7pRV, pVeWc8:dV#R#)a} Calculates the jaro distance Parameters ---------- s1 : Sequence[Hashable] First string to compare. s2 : Sequence[Hashable] Second string to compare. processor: callable, optional Optional callable that is used to preprocess the strings before comparing them. Default is None, which deactivates this behaviour. score_cutoff : float, optional Optional argument for a score threshold as a float between 0 and 1.0. For ratio < score_cutoff 0 is returned instead. Default is None, which deactivates this behaviour. Returns ------- distance : float distance between s1 and s2 as a float between 1.0 and 0.0 rN)r)rrr)rrrrZcutoff_distancer Zdists&&$$ r distancersy:Mr{{gbkk r] r]+3|c7IdPSVbPbO R/ :C 9D (D,@4JsJr cr)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)rrrr normalized_distancer s: Bi KKr )Z __future__rZrapidfuzz._common_pyrZrapidfuzz._utilsrrr rrrrrrr rr r r!s#/1*WX WX  WXtN N  N@(K (K  (KVL L  Lr