old_contents: """
  Lcapy is a Python library for linear circuit analysis.  It uses SymPy
  for symbolic mathematics.
  
  Lcapy can analyse circuits described with netlists using modified nodal
  analysis.  See lcapy.netlist
  
  Alternatively, Lcapy can analyse networks and circuits formed by
  combining one, two, and three port networks.  See lcapy.oneport
  
  For more detailed documentation see http://lcapy.elec.canterbury.ac.nz
  
  Copyright 2014--2020 Michael Hayes, UCECE
  """
  from __future__ import absolute_import, print_function
  del absolute_import, print_function
  
  name = "lcapy"
  
  import pkg_resources
  
  __version__ = pkg_resources.require('lcapy')[0].version
  lcapy_version = __version__
  
  import sys
  if sys.version_info[0] == 2 and sys.version_info[1] < 6:
      raise ImportError("Python Version 2.6 or above is required for Lcapy.")
  else:  # Python 3
      pass
      # Here we can also check for specific Python 3 versions, if needed
  
  del sys
  
  from .functions import *
  from .symbols import *
  from .circuit import *
  from .oneport import *
  from .twoport import *
  from .schematic import *
  from .expr import *
  from .cexpr import *
  from .fexpr import *
  from .sexpr import *
  from .texpr import *
  from .noiseomegaexpr import *
  from .noisefexpr import *
  from .phasor import *
  from .omegaexpr import *
  from .voltage import *
  from .current import *
  from .admittance import *
  from .impedance import *
  from .resistance import *
  from .reactance import *
  from .conductance import *
  from .susceptance import *
  from .printing import *
  from .sym import *
  from .matrix import *
  from .smatrix import *
  from .tmatrix import *
  from .vector import *
  from .statespace import *
  from .nodalanalysis import *
  from .loopanalysis import *
  from .laplace import *
  from .nettransform import *
  from .randomnetwork import *
  from .simulator import *
  
  
  def show_version():
      """Show versions of Lcapy, SymPy, NumPy, MatplotLib, SciPy, and Python."""
      
      from sys import version as python_version
      from sympy import __version__ as sympy_version
      from numpy import __version__ as numpy_version
      from scipy import __version__ as scipy_version    
      from matplotlib import __version__ as matplotlib_version    
  
      print('Python: %s\nSymPy: %s\nNumPy: %s\nMatplotlib: %s\nSciPy: %s\nLcapy: %s' % 
            (python_version, sympy_version, numpy_version,
             matplotlib_version, scipy_version, lcapy_version))
  
  # The following is to help sympify deal with j.   
  # A better fix might be to define an Lcapy class for j and to
  # use the __sympy_ method.
  from sympy.core.sympify import converter
  from sympy import Symbol
  converter['j'] = j
  converter[Symbol('j')] = j
  
  
  
new_contents: """
  Lcapy is a Python library for linear circuit analysis.  It uses SymPy
  for symbolic mathematics.
  
  Lcapy can analyse circuits described with netlists using modified nodal
  analysis.  See lcapy.netlist
  
  Alternatively, Lcapy can analyse networks and circuits formed by
  combining one, two, and three port networks.  See lcapy.oneport
  
  For more detailed documentation see http://lcapy.elec.canterbury.ac.nz
  
  Copyright 2014--2020 Michael Hayes, UCECE
  """
  from __future__ import absolute_import, print_function
  del absolute_import, print_function
  
  name = "lcapy"
  
  import pkg_resources
  
  __version__ = pkg_resources.require('lcapy')[0].version
  lcapy_version = __version__
  
  import sys
  if sys.version_info[0] == 2 and sys.version_info[1] < 6:
      raise ImportError("Python Version 2.6 or above is required for Lcapy.")
  else:  # Python 3
      pass
      # Here we can also check for specific Python 3 versions, if needed
  
  del sys
  
  from .functions import *
  from .symbols import *
  from .circuit import *
  from .oneport import *
  from .twoport import *
  from .schematic import *
  from .expr import *
  from .voltage import *
  from .current import *
  from .admittance import *
  from .impedance import *
  from .resistance import *
  from .reactance import *
  from .conductance import *
  from .susceptance import *
  from .printing import *
  from .sym import *
  from .matrix import *
  from .smatrix import *
  from .tmatrix import *
  from .vector import *
  from .statespace import *
  from .nodalanalysis import *
  from .loopanalysis import *
  from .laplace import *
  from .nettransform import *
  from .randomnetwork import *
  from .simulator import *
  from .fexpr import fexpr
  from .sexpr import sexpr, zp2tf, tf, pr2tf
  from .texpr import texpr
  from .omegaexpr import omegaexpr
  
  def show_version():
      """Show versions of Lcapy, SymPy, NumPy, MatplotLib, SciPy, and Python."""
      
      from sys import version as python_version
      from sympy import __version__ as sympy_version
      from numpy import __version__ as numpy_version
      from scipy import __version__ as scipy_version    
      from matplotlib import __version__ as matplotlib_version    
  
      print('Python: %s\nSymPy: %s\nNumPy: %s\nMatplotlib: %s\nSciPy: %s\nLcapy: %s' % 
            (python_version, sympy_version, numpy_version,
             matplotlib_version, scipy_version, lcapy_version))
  
  # The following is to help sympify deal with j.   
  # A better fix might be to define an Lcapy class for j and to
  # use the __sympy_ method.
  from sympy.core.sympify import converter
  from sympy import Symbol
  converter['j'] = j
  converter[Symbol('j')] = j
  
  
  
subject: Hide some classes from user