Tue May 20 22:21:16 2025

normal_test:
  python version: 3.10.12
  numpy version:  1.26.4
  Test normal().

c8_normal_01_test
  c8_normal_01 computes pseudonormal complex values.

       1  ( 1.504888, 0.791880 )
       2  ( 0.590387, 0.823933 )
       3  ( 1.007752, -0.085409 )
       4  ( -0.700021, -0.000529 )
       5  ( 0.615789, -0.888594 )
       6  ( -0.997192, -0.139229 )
       7  ( 1.850226, 0.278214 )
       8  ( -0.778607, 0.647035 )
       9  ( 0.806171, 1.280444 )
      10  ( -0.306263, 0.230265 )

i4_normal_ab_test
  i4_normal_ab() computes integer pseudonormal values with
  mean MU and standard deviation SIGMA.

  MU = 10
  SIGMA = 2

   0            14
   1             9
   2             7
   3             7
   4             8
   5             6
   6             7
   7             8
   8            10
   9             6

r8_normal_01_test
  Python version: 3.10.12
  r8_normal_01 generates normally distributed
  random values.

  0.401276
  -1.215368
  -1.142023
  -0.947460
  -0.753315
  -1.688073
  0.560816
  -1.059133
  -0.914978
  -0.563146
  1.496935
  0.769756
  -0.867174
  -0.203803
  0.126743
  1.079454
  0.479667
  0.157294
  1.599748
  -0.162080

r8_normal_ab_test
  Python version: 3.10.12
  r8_normal_ab generates normally distributed values
  with given mean and standard deviation.

  MEAN = 100
  STD = 10

  101.212
  100.137
  104.678
  87.5198
  95.1383
  88.9466
  87.4293
  104.486
  91.521
  100.074
  98.2862
  104.956
  92.7072
  93.4802
  92.8687
  105.658
  107.356
  86.4931
  92.279
  99.7561

r8mat_normal_01_test
  Python version: 3.10.12
  r8mat_normal_01 returns a matrix of Normal 01 values


  Matrix:

  Col:       0             1             2             3       
  Row
      0 :   -0.442672      -1.09629    -0.0371734      0.824833  
      1 :   -0.189492      0.636609     -0.281088      -1.01863  
      2 :   -0.776817      0.258371       -1.6266        1.6737  
      3 :   -0.839279      0.555258       1.92103     -0.283878  
      4 :    -0.33489      -1.72971      -1.45965       1.19637  

r8mat_normal_ab_test
  Python version: 3.10.12
  r8mat_normal_ab returns a matrix of Normal AB values

  Mean = 100
  Standard deviation = 5

  Matrix:

  Col:       0             1             2             3       
  Row
      0 :     94.7205       99.1139       95.1841       90.7622  
      1 :     94.3669       110.903       101.642       102.687  
      2 :     94.3827       100.908       93.0545       104.583  
      3 :     102.522       110.496       99.9655       96.2315  
      4 :     103.795       103.907       102.093       101.723  

r8vec_normal_01_test
  Python version: 3.10.12
  r8vec_normal_01 returns a vector of Normal 01 values


  Vector:

     0:     -0.593337
     1:      -1.98514
     2:        1.5204
     3:     -0.750304
     4:      0.582025
     5:     0.0726624
     6:       1.23404
     7:     -0.232302
     8:      0.926752
     9:      0.644456

r8vec_normal_ab_test
  Python version: 3.10.12
  r8vec_normal_ab returns a vector of Normal AB values

  Mean = 15
  Standard deviation = 0.25

  Vector:

     0:       14.9432
     1:       14.7553
     2:        14.695
     3:       14.7969
     4:       14.6469
     5:       14.9649
     6:       15.1252
     7:       14.6692
     8:       14.9487
     9:       15.1034

normal_test():
  Normal end of execution.
Tue May 20 22:21:16 2025