Tue May 20 21:20:38 2025

colored_noise_test():
  python version: 3.10.12
  numpy version:  1.26.4
  Test colored_noise().

r8vec_sftf_test():
  r8vec_sftf() computes the "slow" Fourier transform (forward)
  of a vector of real data.

  Fourier coefficients:

    0.466297
   -0.087693    0.026634
    0.006281   -0.017624
   -0.085879   -0.113399
    0.103449   -0.060556
    0.042636    0.107973
    0.175583    0.091171
    0.087801   -0.050348

  Compare data R and recovered data R2:

    0.708473    0.708473
    0.070079    0.203277
    0.276865   -0.009263
    0.757756    0.383826
    0.623374    0.590152
    0.328539    0.598037
    0.418305    0.395848
    0.668052    0.231649
    0.772494    0.124716
    0.295037    0.502169
    0.630988    0.403049
    0.241966    0.157935
    0.365091    0.780612
    0.699937    0.420717
    0.137495    0.187852

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 0.000000
  Variance is 1.000000

  Noise sample:

       0        -1.51049
       1       -0.510497
       2        -1.52082
       3        0.295521
       4        0.459075
       5         2.06725
       6       -0.809031
       7        -1.07654
  ......  ..............
     127        -0.26582
  Data written to file "alpha_0.00.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 0.250000
  Variance is 1.000000

  Noise sample:

       0        -1.55591
       1        -1.56014
       2       -0.522942
       3        0.002147
       4         1.08892
       5          1.0342
       6        0.572838
       7        0.536744
  ......  ..............
     127        0.111601
  Data written to file "alpha_0.25.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 0.500000
  Variance is 1.000000

  Noise sample:

       0       -0.592159
       1       -0.733659
       2       -0.294972
       3       0.0207909
       4        -0.35631
       5      -0.0922603
       6         1.62539
       7         1.51057
  ......  ..............
     127       -0.358351
  Data written to file "alpha_0.50.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 0.750000
  Variance is 1.000000

  Noise sample:

       0       -0.141566
       1        0.466321
       2        0.433632
       3       -0.868288
       4        -2.68634
       5       -0.296957
       6       -0.800024
       7       -0.532995
  ......  ..............
     127         1.29328
  Data written to file "alpha_0.75.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 1.000000
  Variance is 1.000000

  Noise sample:

       0       0.0602411
       1         1.03195
       2         2.33069
       3         1.10214
       4        -0.56956
       5       -0.215484
       6       -0.502538
       7       0.0155842
  ......  ..............
     127         1.58799
  Data written to file "alpha_1.00.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 1.250000
  Variance is 1.000000

  Noise sample:

       0        0.848487
       1        0.389505
       2        0.408874
       3       0.0240276
       4      -0.0916927
       5         -1.5801
       6        -1.02588
       7        0.910497
  ......  ..............
     127        -1.54864
  Data written to file "alpha_1.25.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 1.500000
  Variance is 1.000000

  Noise sample:

       0       -0.408947
       1        -2.31224
       2        -3.74395
       3        -1.60647
       4        -2.33243
       5        -2.75685
       6        -1.33097
       7        -1.33566
  ......  ..............
     127       -0.826766
  Data written to file "alpha_1.50.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 1.750000
  Variance is 1.000000

  Noise sample:

       0        0.263666
       1         1.20899
       2         3.52904
       3         3.17747
       4         1.93987
       5         1.63788
       6          2.1587
       7         1.90719
  ......  ..............
     127       -0.618768
  Data written to file "alpha_1.75.txt".

colored_noise_test01():
  Generating 128 sample points.
  1/F^ALPHA noise has ALPHA = 2.000000
  Variance is 1.000000

  Noise sample:

       0        -1.44803
       1        -1.43503
       2         -1.1413
       3        -1.04571
       4        -1.49275
       5       -0.858329
       6        -2.28002
       7       -0.759192
  ......  ..............
     127       0.0565582
  Data written to file "alpha_2.00.txt".

colored_noise_test02():
  Generating 100 realizations
  Generating 64 sample points.
  1/F^ALPHA noise has ALPHA = 0.000000
  Variance is 1.000000

  Graphics saved as "alpha_0.00_paths.png"

colored_noise_test02():
  Generating 100 realizations
  Generating 64 sample points.
  1/F^ALPHA noise has ALPHA = 0.500000
  Variance is 1.000000

  Graphics saved as "alpha_0.50_paths.png"

colored_noise_test02():
  Generating 100 realizations
  Generating 64 sample points.
  1/F^ALPHA noise has ALPHA = 1.000000
  Variance is 1.000000

  Graphics saved as "alpha_1.00_paths.png"

colored_noise_test02():
  Generating 100 realizations
  Generating 64 sample points.
  1/F^ALPHA noise has ALPHA = 1.500000
  Variance is 1.000000

  Graphics saved as "alpha_1.50_paths.png"

colored_noise_test02():
  Generating 100 realizations
  Generating 64 sample points.
  1/F^ALPHA noise has ALPHA = 2.000000
  Variance is 1.000000

  Graphics saved as "alpha_2.00_paths.png"

colored_noise_test():
  Normal end of execution.
Tue May 20 21:21:04 2025