code: 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))
  
imports: import math
  import scipy
label_desc: Use image node_id 7 for calling a global function with example usage: chebyshev_neg(h1, h2) and returns: min