code: def _avgConnectedSpanForColumn1D(self, columnIndex):
      
      assert(self._inputDimensions.size == 1)
      connected = self._connectedSynapses[columnIndex].nonzero()[0]
      if connected.size == 0:
        return 0
      else:
        return max(connected) - min(connected) + 1
docs: The range of connected synapses for column. This is used to
      calculate the inhibition radius. This variation of the function only
      supports a 1 dimensional column topology.
  
      Parameters:
      ----------------------------
      :param columnIndex:   The index identifying a column in the permanence,
                            potential and connectivity matrices