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   ÚVPÚVNÚD0ÚPM_j_oldÚcurrDistÚmaskÚblockÚ	block_getÚxÚch1Úch2ÚPM_jÚTRÚHPÚHN© r   úL/var/www/html/venv/lib/python3.10/site-packages/rapidfuzz/distance/OSA_py.pyÚ_osa_distance_hyrroe2003   s:   
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r!   N)Ú	processorÚscore_cutoffr"   ú(Callable[..., Sequence[Hashable]] | Noner#   ú
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    Calculates the optimal string alignment (OSA) 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 : int, 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

    Examples
    --------
    Find the OSA distance between two strings:

    >>> from rapidfuzz.distance import OSA
    >>> OSA.distance("CA", "AC")
    2
    >>> OSA.distance("CA", "ABC")
    3
    Nr   )r   r!   )r   r
   r"   r#   Údistr   r   r    Údistance7   s   (
r'   c                C  sb   |dur|| ƒ} ||ƒ}t | |ƒ\} }tt| ƒt|ƒƒ}t| |ƒ}|| }|du s-||kr/|S dS )a5  
    Calculates the optimal string alignment (OSA) similarity in the range [max, 0].

    This is calculated as ``max(len1, len2) - 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 : 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
    -------
    similarity : int
        similarity between s1 and s2
    Nr   )r   Úmaxr   r'   )r   r
   r"   r#   Úmaximumr&   Úsimr   r   r    Ú
similarityh   s    
r+   úfloat | NoneÚfloatc                C  s~   t | ƒst |ƒr
dS |dur|| ƒ} ||ƒ}t| |ƒ\} }tt| ƒt|ƒƒ}t| |ƒ}|r1|| nd}|du s;||kr=|S dS )aM  
    Calculates a normalized optimal string alignment (OSA) similarity in the range [1, 0].

    This is calculated as ``distance / max(len1, len2)``.

    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 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
    ç      ð?Nr   r   )r   r   r(   r   r'   )r   r
   r"   r#   r)   r&   Ú	norm_distr   r   r    Únormalized_distance“   s   
r0   c                C  sd   t | ƒst |ƒr
dS |dur|| ƒ} ||ƒ}t| |ƒ\} }t| |ƒ}d| }|du s.||kr0|S dS )aE  
    Calculates a normalized optimal string alignment (OSA) 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.
    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
    g        Nr.   r   )r   r   r0   )r   r
   r"   r#   r/   Únorm_simr   r   r    Únormalized_similarityÀ   s   
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   r	   r"   r$   r#   r,   r   r-   )Ú
__future__r   Útypingr   r   r   Úrapidfuzz._common_pyr   Úrapidfuzz._utilsr   r!   r'   r+   r0   r2   r   r   r   r    Ú<module>   s"   
/û5û/û1û