Wed Oct  8 07:48:34 2025

gegenbauer_cc_test():
  python version: 3.10.12
  numpy version:  1.26.4
  Test gegenbauer_cc().

chebyshev_even1_test:
  chebyshev_even1 computes the even Chebyshev coefficients
  of a function F, using the extreme points of Tn(x).

  Computed and Exact Coefficients:

       0:       0.447782      0.447782
       1:      -0.705669     -0.705669
       2:      0.0680358     0.0680358
       3:    -0.00480972   -0.00480972

chebyshev_even2_test:
  chebyshev_even2 computes the even Chebyshev coefficients
  of a function F, using the zeros of Tn(x).

  Computed Coefficients:

     0:      0.447782
     1:     -0.705668
     2:     0.0679919
     3:   -0.00244922

gegenbauer_cc1_test:
  gegenbauer_cc1 estimates the Gegenbauer integral of
  a function f(x) using a Clenshaw-Curtis type approach
  based on the extreme points of Tn(x).

  Value = 0.915449
  Exact = 0.915451

gegenbauer_cc2_test:
  gegenbauer_cc2 estimates the Gegenbauer integral of
  a function f(x) using a Clenshaw-Curtis type approach
  based on the zeros of Tn(x).

  Value = 0.915452
  Exact = 0.915451

r8_mop_test
  r8_mop evaluates (-1.0)^I4 as an R8.

    I4  r8_mop(I4)

    -5  -1.0
   -41  -1.0
   -69  -1.0
    25  -1.0
    27  -1.0
    18   1.0
    85  -1.0
   -44   1.0
    -1  -1.0
   -37  -1.0

gegenbauer_cc_test():
  Normal end of execution.
Wed Oct  8 07:48:34 2025