Wed Oct  8 07:28:49 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:

    0.609017
   -0.116305   -0.183061
    0.129717    0.042100
    0.024969   -0.113731
    0.109154   -0.106536
   -0.009358    0.005811
    0.047972   -0.229317
    0.087498   -0.114062

  Compare data R and recovered data R2:

    0.882663    0.882663
    0.055393    0.139280
    0.610686    0.662222
    0.150020    0.418211
    0.724750    0.422787
    0.190533    0.931294
    0.421980    0.375098
    0.971304    0.195081
    0.837651    0.399165
    0.860967    0.452841
    0.972676    0.254134
    0.527535    0.347485
    0.682663    0.574601
    0.369517    0.339372
    0.876912    0.996432

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

  Noise sample:

       0        -1.63179
       1        -1.23885
       2      -0.0508841
       3         1.66776
       4         1.69961
       5         0.28691
       6         2.32316
       7        0.266002
  ......  ..............
     127       -0.432576
  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        -1.62837
       1        0.733087
       2       -0.868146
       3        0.863859
       4        -1.27028
       5       -0.836936
       6      -0.0903256
       7       -0.921579
  ......  ..............
     127        -0.45679
  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       -0.123417
       1        0.547579
       2        -0.35281
       3        0.125213
       4        -1.44294
       5         1.38866
       6       0.0855977
       7       -0.591663
  ......  ..............
     127        0.921424
  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        0.610385
       1        0.528464
       2       -0.609978
       3         1.55499
       4        0.175403
       5       -0.046906
       6       -0.560784
       7        -1.05286
  ......  ..............
     127        -1.02065
  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        -1.01087
       1     -0.00573756
       2       -0.688456
       3        -2.20866
       4       -0.870403
       5         1.93138
       6       -0.031961
       7        0.028496
  ......  ..............
     127        0.749176
  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        -1.57427
       1        -2.42716
       2        -1.29352
       3       -0.932819
       4        -0.97817
       5       -0.485704
       6       0.0262807
       7        0.510917
  ......  ..............
     127        -1.75301
  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       -0.247759
       1      -0.0458323
       2       -0.266654
       3      -0.0500423
       4        -1.62336
       5       -0.147005
       6       -0.662877
       7       -0.245722
  ......  ..............
     127        -1.31626
  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        0.357537
       1       -0.128309
       2       -0.836401
       3         2.12082
       4         2.69143
       5         3.27252
       6         5.21357
       7         4.98716
  ......  ..............
     127         1.02981
  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        0.701979
       1         1.88895
       2         3.78879
       3         3.16195
       4         3.65002
       5         4.15865
       6         4.94324
       7         4.98562
  ......  ..............
     127     -0.00501472
  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.
Wed Oct  8 07:29:15 2025