code: def _munp(self, n, a, b):
      args = (a, b)
      super()._munp(self, n, *args)
  
file_path: statsmodels/statsmodels/sandbox/examples/bayesprior.py
imports: import numpy
  from matplotlib import pyplot
  from scipy import stats, integrate
  from scipy.stats import rv_continuous
  from scipy.special import gammaln, gammaincinv, gammainc
  from numpy import log, exp
label_desc: Use image node_id 5 for calling the igamma_gen obj's underlying member method code with example usage: obj._munp(n, a, b) without return types