def _pairwise_distances_no_broadcast_helper(X, Y):  # pragma: no cover
    """Internal function for calculating the distance with numba. Do not use.

    Parameters
    ----------
    X : array of shape (n_samples, n_features)
        First input samples

    Y : array of shape (n_samples, n_features)
        Second input samples

    Returns
    -------
    distance : array of shape (n_samples,)
        Intermediate results. Do not use.

    """
    euclidean_sq = np.square(Y - X)
    return np.sqrt(np.sum(euclidean_sq, axis=1)).ravel()
Internal function for calculating the distance with numba. Do not use.

    Parameters
    ----------
    X : array of shape (n_samples, n_features)
        First input samples

    Y : array of shape (n_samples, n_features)
        Second input samples

    Returns
    -------
    distance : array of shape (n_samples,)
        Intermediate results. Do not use.

    
pyod/utils/stat_models.py