Ng~ddlmZddlmZddlmZmZdZdZdZ dZ ddd d Z ddd d Z ddd d Z ddd d ZdS)) annotations)conv_sequences)is_none setupPandascP|dz}d}|||z z }|||z z }|||z |z z }|dz S)Ng@) pattern_lentext_len common_charstranspositionssims V/var/www/html/ai-engine/env/lib/python3.11/site-packages/rapidfuzz/distance/Jaro_py.py_jaro_calculate_similarityr sMqN C<+ %%C<( ""CL> )\ 99C 9cZ|r|sdSt||t||d}||kS)zC filter matches below score_cutoff based on string lengths Fr)rmin)r r score_cutoffrs r_jaro_length_filterrsA hu $[(C X>,00 hqk!  $K< V VqA X&&!!4  !1h''  A;AAE!u1~~q %k8\; W 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" M M MMrctt|st|rdS|||}||}||dkrdnd|z }t|||}d|z }|||kr|ndS)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 rdistancer9s:MMMr{{gbkks Yr]] Yr]]+3|c7I7IddPSVbPbO R/ : : :C 9D (DL,@,@44sJrc(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 K K KKr) __future__rrapidfuzz._common_pyrrapidfuzz._utilsrrrrrrr2r5r9r;r rrr?s+#"""""//////111111112 WXWXWXWXWX| NNNNNH (K(K(K(K(K^ LLLLLLLr