code: def _munp(self, n, c):
      k = np.arange(0, n + 1)
      val = (1.0 / c) ** n * np.sum(
          comb(n, k) * (-1) ** k / (1.0 + c * k), axis=0
      )
      return where(c * n > -1, val, inf)
  
imports: import numpy
  from scipy import stats
  from scipy.special import comb
  from scipy.stats.distributions import rv_continuous
  import matplotlib.pyplot
  from numpy import where, inf
  from numpy import abs
label_desc: Use image node_id 6 for calling the genpareto2_gen obj's underlying member method code with example usage: obj._munp(n, c) and returns: where