text: #
  # Copyright 2020 Antoine Sanner
  #           2016, 2020 Lars Pastewka
  #           2015 Till Junge
  #
  # ### MIT license
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  #
  # The above copyright notice and this permission notice shall be included in
  # all copies or substantial portions of the Software.
  #
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  # SOFTWARE.
  #
  
  from test.Interactions import (
      lj93_ref_potential as lj93,
      lj93smooth_ref_potential as lj93s
      )
  import numpy as np
  
  eps = 1.
  sig = 1.
  rc1 = 2.5
  rc2 = 1.
  
  xmin, xmax, step = (.7, 3, .01)
  x = np.arange(xmin, xmax, step)
  
  v = lj93.V(x, eps, sig, rc1)
  vs = lj93s.V(x, eps, sig, 1.1, rc1)
  
  # import matplotlib.pyplot as plt
  # plt.plot(x, v,  label='std')
  # plt.plot(x, vs, label='smooth')
  # plt.legend(loc='best')
  # plt.show()
  