#! /usr/bin/env python
#
def normal_01_mean ( ):

#*****************************************************************************80
#
## NORMAL_01_MEAN returns the mean of the Normal 01 PDF.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    03 March 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Output, real VALUE, the mean of the PDF.
# 
  value = 0.0

  return value

def normal_01_mean_test ( ):

#*****************************************************************************80
#
## NORMAL_01_MEAN_TEST tests NORMAL_01_MEAN.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    03 March 2015
#
#  Author:
#
#    John Burkardt
#
  import numpy as np
  import platform
  from normal_01_sample import normal_01_sample
  from r8vec_max import r8vec_max
  from r8vec_mean import r8vec_mean
  from r8vec_min import r8vec_min

  print ( '' )
  print ( 'NORMAL_01_MEAN_TEST' )
  print ( '  Python version: %s' % ( platform.python_version ( ) ) )
  print ( '  NORMAL_01_MEAN computes the Normal 01 mean;' )

  m = normal_01_mean ( )

  print ( '' )
  print ( '  PDF mean =      %14g' % ( m ) )

  nsample = 1000
  seed = 123456789

  x = np.zeros ( nsample )
  for i in range ( 0, nsample ):
    x[i], seed = normal_01_sample ( seed )

  ms = r8vec_mean ( nsample, x )
  xmax = r8vec_max ( nsample, x )
  xmin = r8vec_min ( nsample, x )

  print ( '' )
  print ( '  Sample size =     %6d' % ( nsample ) )
  print ( '  Sample mean =     %14g' % ( ms ) )
  print ( '  Sample maximum =  %14g' % ( xmax ) )
  print ( '  Sample minimum =  %14g' % ( xmin ) )
#
#  Terminate.
#
  print ( '' )
  print ( 'NORMAL_01_MEAN_TEST:' )
  print ( '  Normal end of execution.' )
  return

if ( __name__ == '__main__' ):
  from timestamp import timestamp
  timestamp ( )
  normal_01_mean_test ( )
  timestamp ( )