#! /usr/bin/env python
#
def p00_dim_num ( prob ):

#*****************************************************************************80
#
## P00_DIM_NUM returns the spatial dimension for any problem.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Input, integer PROB, the problem index.
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  if ( prob == 1 ):
    dim_num = p01_dim_num ( )
  elif ( prob == 2 ):
    dim_num = p02_dim_num ( )
  elif ( prob == 3 ):
    dim_num = p03_dim_num ( )
  elif ( prob == 4 ):
    dim_num = p04_dim_num ( )
  elif ( prob == 5 ):
    dim_num = p05_dim_num ( )
  elif ( prob == 6 ):
    dim_num = p06_dim_num ( )
  elif ( prob == 7 ):
    dim_num = p07_dim_num ( )
  elif ( prob == 8 ):
    dim_num = p08_dim_num ( )
  else:
    print ( '' )
    print ( 'P00_DIM_NUM - Fatal error!' )
    print ( '  Unexpected input value of PROB.' )
    exit ( 'P00_DIM_NUM - Fatal error!' )

  return dim_num

def p01_dim_num ( ):

#*****************************************************************************80
#
## P01_DIM_NUM returns the spatial dimension for problem p01.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p02_dim_num ( ):

#*****************************************************************************80
#
## P02_DIM_NUM returns the spatial dimension for problem p02.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p03_dim_num ( ):

#*****************************************************************************80
#
## P03_DIM_NUM returns the spatial dimension for problem p03.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p04_dim_num ( ):

#*****************************************************************************80
#
## P04_DIM_NUM returns the spatial dimension for problem p04.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p05_dim_num ( ):

#*****************************************************************************80
#
## P05_DIM_NUM returns the spatial dimension for problem p05.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p06_dim_num ( ):

#*****************************************************************************80
#
## P06_DIM_NUM returns the spatial dimension for problem p06.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p07_dim_num ( ):

#*****************************************************************************80
#
## P07_DIM_NUM returns the spatial dimension for problem p07.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p08_dim_num ( ):

#*****************************************************************************80
#
## P08_DIM_NUM returns the spatial dimension for problem p08.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, integer DIM_NUM, the spatial dimension of the
#    dependent variables.
#
  dim_num = 2

  return dim_num

def p00_dim_num_test ( ):

#*****************************************************************************80
#
## P00_DIM_NUM_TEST tests P00_DIM_NUM.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    28 June 2015
#
#  Author:
#
#    John Burkardt
#
  import platform
  from p00_prob_num import p00_prob_num

  print ( '' )
  print ( 'P00_DIM_NUM_TEST' )
  print ( '  Python version: %s' % ( platform.python_version ( ) ) )
  print ( '  P00_DIM_NUM returns the spatial dimension for any problem.' )
  print ( '' )
  print ( '  Problem  Dimension' )
  print ( '' )

  prob_num = p00_prob_num ( )

  for prob in range ( 1, prob_num + 1 ):

    dim_num = p00_dim_num ( prob )

    print ( '  %7d  %9d' % ( prob, dim_num ) )
#
#  Terminate.
#
  print ( '' )
  print ( 'P00_DIM_NUM_TEST:' )
  print ( '  Normal end of execution.' )
  return

if ( __name__ == '__main__' ):
  from timestamp import timestamp
  timestamp ( )
  p00_dim_num_test ( )
  timestamp ( )