def chebyshev_neg(h1, h2): # 12 us @array, 36 us @list \w 100 bins
    r"""
    Chebyshev negative distance.
    
    Also Tchebychev distance, Minimum or :math:`L_{-\infty}` metric; equal to Minowski
    distance with :math:`p=-\infty`. For the case of :math:`p=+\infty`, use `chebyshev`.
    
    The Chebyshev distance between two histograms :math:`H` and :math:`H'` of size :math:`m` is
    defined as:
    
    .. math::
    
        d_{-\infty}(H, H') = \min_{m=1}^M|H_m-H'_m|
    
    *Attributes:*

    - semimetric (triangle equation satisfied?)
    
    *Attributes for normalized histograms:*

    - :math:`d(H, H')\in[0, 1]`
    - :math:`d(H, H) = 0`
    - :math:`d(H, H') = d(H', H)`
    
    *Attributes for not-normalized histograms:*

    - :math:`d(H, H')\in[0, \infty)`
    - :math:`d(H, H) = 0`
    - :math:`d(H, H') = d(H', H)`
    
    *Attributes for not-equal histograms:*

    - not applicable
    
    Parameters
    ----------
    h1 : sequence
        The first histogram.
    h2 : sequence
        The second histogram.
    
    Returns
    -------
    chebyshev_neg : float
        Chebyshev negative distance.
    
    See also
    --------
    minowski, chebyshev
    """
    h1, h2 = __prepare_histogram(h1, h2)
    return min(scipy.absolute(h1 - h2))