#! /usr/bin/env python
#
def hypercube01_sample ( m, n, seed ):

#*****************************************************************************80
#
## HYPERCUBE01_SAMPLE samples points in the unit hypercube in M dimensions.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license. 
#
#  Modified:
#
#    22 June 2015
#
#  Author:
#
#    John Burkardt
#
#  Parameters:
#
#    Input, integer M, the spatial dimension.
#
#    Input, integer N, the number of points.
#
#    Input/output, integer SEED, a seed for the random 
#    number generator.
#
#    Output, real X(M,N), the points.
#
  from r8mat_uniform_01 import r8mat_uniform_01

  x, seed = r8mat_uniform_01 ( m, n, seed )

  return x, seed

def hypercube01_sample_test ( ):

#*****************************************************************************80
#
## HYPERCUBE01_SAMPLE_TEST tests HYPERCUBE01_SAMPLE.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    22 June 2015
#
#  Author:
#
#    John Burkardt
#
  import platform
  from r8mat_transpose_print import r8mat_transpose_print

  print ( '' )
  print ( 'HYPERCUBE01_SAMPLE_TEST' )
  print ( '  Python version: %s' % ( platform.python_version ( ) ) )
  print ( '  HYPERUBE01_SAMPLE samples the unit hypercube' )
  print ( '  in M dimensions.' )

  m = 3
  n = 10
  seed = 123456789

  x, seed = hypercube01_sample ( m, n, seed )

  r8mat_transpose_print ( m, n, x, '  Sample points in the unit hypercube.' )
#
#  Terminate.
#
  print ( '' )
  print ( 'HYPERCUBE01_SAMPLE_TEST' )
  print ( '  Normal end of execution.' )
  return

if ( __name__ == '__main__' ):
  from timestamp import timestamp
  timestamp ( )
  hypercube01_sample_test ( )
  timestamp ( )