abydos/distance/_euclidean.py
def euclidean(src, tar, qval=2, normalized=False, alphabet=None):
    """Return the Euclidean distance between two strings.

    This is a wrapper for :py:meth:`Euclidean.dist_abs`.

    Parameters
    ----------
    src : str
        Source string (or QGrams/Counter objects) for comparison
    tar : str
        Target string (or QGrams/Counter objects) for comparison
    qval : int
        The length of each q-gram; 0 for non-q-gram version
    normalized : bool
        Normalizes to [0, 1] if True
    alphabet : collection or int
        The values or size of the alphabet

    Returns
    -------
    float: The Euclidean distance

    Examples
    --------
    >>> euclidean('cat', 'hat')
    2.0
    >>> round(euclidean('Niall', 'Neil'), 12)
    2.645751311065
    >>> euclidean('Colin', 'Cuilen')
    3.0
    >>> round(euclidean('ATCG', 'TAGC'), 12)
    3.162277660168

    """
    return Euclidean().dist_abs(src, tar, qval, normalized, alphabet)
def euclidean(src, tar, qval=2, normalized=False, alphabet=None):
    """Return the Euclidean distance between two strings.

    This is a wrapper for :py:meth:`Euclidean.dist_abs`.

    Parameters
    ----------
    src : str
        Source string (or QGrams/Counter objects) for comparison
    tar : str
        Target string (or QGrams/Counter objects) for comparison
    qval : int
        The length of each q-gram; 0 for non-q-gram version
    normalized : bool
        Normalizes to [0, 1] if True
    alphabet : collection or int
        The values or size of the alphabet

    Returns
    -------
    float: The Euclidean distance

    Examples
    --------
    >>> euclidean('cat', 'hat')
    2.0
    >>> round(euclidean('Niall', 'Neil'), 12)
    2.645751311065
    >>> euclidean('Colin', 'Cuilen')
    3.0
    >>> round(euclidean('ATCG', 'TAGC'), 12)
    3.162277660168

    """
    return Euclidean().dist_abs(src, tar, qval, normalized, alphabet)
def euclidean ( src , tar , qval = 2 , normalized = False , alphabet = None ) : return Euclidean ( ) . dist_abs ( src , tar , qval , normalized , alphabet )
Return the Euclidean distance between two strings.

    This is a wrapper for :py:meth:`Euclidean.dist_abs`.

    Parameters
    ----------
    src : str
        Source string (or QGrams/Counter objects) for comparison
    tar : str
        Target string (or QGrams/Counter objects) for comparison
    qval : int
        The length of each q-gram; 0 for non-q-gram version
    normalized : bool
        Normalizes to [0, 1] if True
    alphabet : collection or int
        The values or size of the alphabet

    Returns
    -------
    float: The Euclidean distance

    Examples
    --------
    >>> euclidean('cat', 'hat')
    2.0
    >>> round(euclidean('Niall', 'Neil'), 12)
    2.645751311065
    >>> euclidean('Colin', 'Cuilen')
    3.0
    >>> round(euclidean('ATCG', 'TAGC'), 12)
    3.162277660168
Return the Euclidean distance between two strings .