class_docstr: Stats for Y = q * round(exp(X) / q) where X ~ N(mu, sigma)
      
class_docstr_tok: ["Stats","for","Y","=","q","*","round","(","exp","(","X",")","\/","q",")","where","X","~","N","(","mu",",","sigma",")"]
code: def __init__(self, mu, sigma, q):
      self.mu, self.sigma, self.q = list(map(float, (mu, sigma, q)))
      # -- distfn for using the CDF
      self._norm_cdf = scipy.stats.norm(loc=mu, scale=sigma).cdf
  
imports: from __future__ import division
  from builtins import map
  from builtins import object
  from past.utils import old_div
  import numpy
  import numpy.random
  import scipy.stats
  from scipy.stats import rv_continuous
  from scipy.stats._continuous_distns import lognorm_gen
label_desc: Use image node_id 1 to create a new qlognormal_gen object from inherited base classes: object with example: obj = qlognormal_gen(mu, sigma, q)