#! /usr/bin/env python
#
def cheby_t_poly_values ( n_data ):

#*****************************************************************************80
#
## CHEBY_T_POLY_VALUES returns values of Chebyshev polynomials T(n,x).
#
#  Discussion:
#
#    In Mathematica, the function can be evaluated by:
#
#      ChebyshevT[n,x]
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    05 January 2015
#
#  Author:
#
#    John Burkardt
#
#  Reference:
#
#    Milton Abramowitz and Irene Stegun,
#    Handbook of Mathematical Functions,
#    US Department of Commerce, 1964.
#
#    Stephen Wolfram,
#    The Mathematica Book,
#    Fourth Edition,
#    Wolfram Media / Cambridge University Press, 1999.
#
#  Parameters:
#
#    Input/output, integer N_DATA.  The user sets N_DATA to 0 before the
#    first call.  On each call, the routine increments N_DATA by 1, and
#    returns the corresponding data; when there is no more data, the
#    output value of N_DATA will be 0 again.
#
#    Output, integer N, the order of the function.
#
#    Output, real X, the point where the function is evaluated.
#
#    Output, real FX, the value of the function.
#
  n_max = 13;

  fx_vec = [ \
 ];

  n_vec = [ \
 ];

  x_vec = [ \
 ];

  import numpy as np

  n_max = 13

  fx_vec = np.array ( ( \
      0.1000000000000000E+01, \
      0.8000000000000000E+00, \
      0.2800000000000000E+00, \
     -0.3520000000000000E+00, \
     -0.8432000000000000E+00, \
     -0.9971200000000000E+00, \
     -0.7521920000000000E+00, \
     -0.2063872000000000E+00, \
      0.4219724800000000E+00, \
      0.8815431680000000E+00, \
      0.9884965888000000E+00, \
      0.7000513740800000E+00, \
      0.1315856097280000E+00 ) )

  n_vec = np.array ( ( \
     0,  1,  2, \
     3,  4,  5, \
     6,  7,  8, \
     9, 10, 11, \
    12 ))

  x_vec = np.array ( ( \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00, \
     0.8E+00  ) )

  if ( n_data < 0 ):
    n_data = 0

  if ( n_max <= n_data ):
    n_data = 0
    n = 0
    x = 0.0
    fx = 0.0
  else:
    n = n_vec[n_data]
    x = x_vec[n_data]
    fx = fx_vec[n_data]
    n_data = n_data + 1

  return n_data, n, x, fx

def cheby_t_poly_values_test ( ):

#*****************************************************************************80
#
## CHEBY_T_POLY_VALUES_TEST demonstrates the use of CHEBY_T_POLY_VALUES.
#
#  Licensing:
#
#    This code is distributed under the GNU LGPL license.
#
#  Modified:
#
#    05 January 2015
#
#  Author:
#
#    John Burkardt
#
  import platform

  print ( '' )
  print ( 'CHEBY_T_POLY_VALUES_TEST:' )
  print ( '  Python version: %s' % ( platform.python_version ( ) ) )
  print ( '  CHEBY_T_POLY_VALUES stores values of the Bernoulli polynomials.' )
  print ( '' )
  print ( '      N            X            FX' )
  print ( '' )

  n_data = 0

  while ( True ):

    n_data, n, x, fx = cheby_t_poly_values ( n_data )

    if ( n_data == 0 ):
      break

    print ( '  %6d  %12f  %24.16g' % ( n, x, fx ) )
#
#  Terminate.
#
  print ( '' )
  print ( 'CHEBY_T_POLY_VALUES_TEST:' )
  print ( '  Normal end of execution.' )
  return

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