xnh|ddlmZddlmZddlmZmZdZdZdZ dZ ddd d Z ddd d Z ddd d Z ddd d Zy)) annotations)conv_sequences)is_none setupPandascP|dz}d}|||z z }|||z z }|||z |z z }|dz S)Ng@) pattern_lentext_len common_charstranspositionssims [/var/www/html/profi_bot/bot/venv/lib/python3.12/site-packages/rapidfuzz/distance/Jaro_py.py_jaro_calculate_similarityr sMqN C<+ %%C<( ""CL> )\ 99C 9cF|r|syt||t||d}||k\S)zC filter matches below score_cutoff based on string lengths Fr)rmin)r r score_cutoffrs r_jaro_length_filterrs/ h $[(C X,00 hqk!  $" $K< VA X&4 1h'A;AA(!u1~q ' &k8\; WWrc t||||S)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" MMrctt|s t|ry|||}||}||dkDrdnd|z }t|||}d|z }|||kr|SdS)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{gbk r] r]+3|c7IdPSVbPbO R/ :C 9D (DL,@4JsJrc t||||S)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: Bil KKr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrrrrr2r5r9r;r rrr?s`#/12 WX| NH (K^ Lr