class_docstr: Stats for Y = e^X where X ~ U(low, high).
code: def _rvs(self):
      rval = np.exp(mtrand.uniform(self._low, self._high, self._size))
      return rval
  
imports: 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 2 for calling the loguniform_gen obj's underlying member method code with example usage: obj._rvs() and returns: rval