old_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  
  """
  dit is a Python package for information theory on discrete random variables.
  
  d = discrete
  i = information
  t = theory
  
  However, the more precise statement (at this point) is that `dit` is a
  Python package for sigma-algebras defined on finite sets. Presently,
  a few assumptions are made which make `dit` unsuitable as a general
  sigma algebra package (on finite sets).  Some of these assumptions
  deal with how the sample space and sigma algebras are formed from
  the probability mass function (and its outcomes).
  
  """
  
  # Order is important!
  from .params import ditParams
  from .npscalardist import ScalarDistribution
  from .npdist import Distribution
  
  from .distconst import *
  
  import dit.algorithms
  
new_contents: #!/usr/bin/env python
  # -*- coding: utf-8 -*-
  
  """
  dit is a Python package for information theory on discrete random variables.
  
  d = discrete
  i = information
  t = theory
  
  However, the more precise statement (at this point) is that `dit` is a
  Python package for sigma-algebras defined on finite sets. Presently,
  a few assumptions are made which make `dit` unsuitable as a general
  sigma algebra package (on finite sets).  Some of these assumptions
  deal with how the sample space and sigma algebras are formed from
  the probability mass function (and its outcomes).
  
  """
  
  # Order is important!
  from .params import ditParams
  from .npscalardist import ScalarDistribution
  from .npdist import Distribution
  
  from .distconst import *
  
  import dit.algorithms
  import dit.divergences
  import dit.esoteric
  import dit.multivariate
  import dit.shannon
  
subject: update dit/__init__.py too