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    The class provides methods to ``add`` a sparse vector
    and scale the vector.
    Representing a vector explicitly as a scalar times a
    vector allows for efficient scaling operations.

    Attributes
    ----------
    w : ndarray, dtype=np.float64, order='C'
        The numpy array which backs the weight vector.
    w_data_ptr : np.float64*
        A pointer to the data of the numpy array.
    wscale : double
        The scale of the vector.
    n_features : int
        The number of features (= dimensionality of ``w``).
    sq_norm : double
        The squared norm of ``w``.
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