Thu Sep 13 19:28:58 2018

TOMS515_TEST
  Python version: 3.6.5
  Test the TOMS515 library.

COMB_TEST01
  Python version: 3.6.5
  Generate all K-subsets of an N set.
  K = 3
  N = 5
  LMAX = 10

       1:  
       1
       2
       3

       2:  
       1
       2
       4

       3:  
       1
       2
       5

       4:  
       1
       3
       4

       5:  
       1
       3
       5

       6:  
       1
       4
       5

       7:  
       2
       3
       4

       8:  
       2
       3
       5

       9:  
       2
       4
       5

      10:  
       3
       4
       5


COMB_TEST01_TEST:
  Normal end of execution.

COMB_TEST02
  Python version: 3.6.5
  Generate all K-subsets of an N set.
  K = 3
  N = 5
  LMAX = 10

       3:  
       1
       2
       5

      10:  
       3
       4
       5

       9:  
       2
       4
       5

       6:  
       1
       4
       5

       5:  
       1
       3
       5

       1:  
       1
       2
       3

       3:  
       1
       2
       5

       2:  
       1
       2
       4

       1:  
       1
       2
       3

       7:  
       2
       3
       4


COMB_TEST02_TEST:
  Normal end of execution.

COMB_TEST03
  Python version: 3.6.5
  Generate 10 random K-subsets of an N set.
  K = 3
  N = 25
  LMAX = 2300

     503:  
       2
      18
      20

    2200:  
      16
      19
      24

    1908:  
      11
      17
      25

    1292:  
       6
      16
      22

     956:  
       4
      20
      21

     153:  
       1
       9
      22

     593:  
       3
       7
      11

     253:  
       1
      18
      23

     101:  
       1
       6
      21

    1459:  
       7
      18
      21


COMB_TEST03_TEST:
  Normal end of execution.

COMB_TEST04
  Python version: 3.6.5
  Generate 10 random K-subsets of an N set.
  K = 3
  N = 100
  LMAX = 161700

   35319:  
       8
      60
      79

  154637:  
      65
      68
      78

  134132:  
      45
      48
      93

   90827:  
      24
      66
      88

   67156:  
      17
      27
      65

   10692:  
       3
      16
      18

   41651:  
      10
      28
      87

   17781:  
       4
      54
      96

    7088:  
       2
      29
      69

  102513:  
      29
      36
      84


COMB_TEST04_TEST:
  Normal end of execution.

COMB_TEST05
  Python version: 3.6.5
  Generate 10 random K-subsets of an N set.
  K = 10
  N = 100
  LMAX = 17310309456440

  Note that this function is already
  failing because LMAX is negative.
  The combinatorial coefficient C(100,10)
  is too large to store in an integer.

  Although the program continues to give
  results, they cannot be relied on!

COMB_TEST05 - Warning!
  The binomial coefficient cannot be
  computed in integer arithmetic for
  this choice of parameters.

I4_CHOOSE_TEST
  Python version: 3.6.5
  I4_CHOOSE evaluates C(N,K).

       N       K     CNK

       0       0       1

       1       0       1
       1       1       1

       2       0       1
       2       1       2
       2       2       1

       3       0       1
       3       1       3
       3       2       3
       3       3       1

       4       0       1
       4       1       4
       4       2       6
       4       3       4
       4       4       1

I4_CHOOSE_TEST:
  Normal end of execution.

I4_CHOOSE_CHECK_TEST
  Python version: 3.6.5
  I4_CHOOSE_CHECK checks whether C(N,K)
  can be computed with integer arithmetic
  or not.

     N     K    CHECK?    I4_CHOOSE

    10     3        1
        120
  1000   999        1
        1000
   100     3        1
        161700
   100    10        0
   Not computable

I4_CHOOSE_CHECK_TEST:
  Normal end of execution.

I4_UNIFORM_AB_TEST
  Python version: 3.6.5
  I4_UNIFORM_AB computes pseudorandom values
  in an interval [A,B].

  The lower endpoint A = -100
  The upper endpoint B = 200
  The initial seed is 123456789

         1       -35
         2       187
         3       149
         4        69
         5        25
         6       -81
         7       -23
         8       -67
         9       -87
        10        90
        11       -82
        12        35
        13        20
        14       127
        15       139
        16      -100
        17       170
        18         5
        19       -72
        20       -96

I4_UNIFORM_AB_TEST:
  Normal end of execution.

R8_GAMMA_LOG_TEST:
  Python version: 3.6.5
  R8_GAMMA_LOG evaluates the logarithm of the Gamma function.

      X            GAMMA_LOG(X)    R8_GAMMA_LOG(X)

           0.2         1.524063822430784         1.524063822430784
           0.4        0.7966778177017837        0.7966778177017837
           0.6        0.3982338580692348        0.3982338580692349
           0.8        0.1520596783998375        0.1520596783998376
             1                         0                         0
           1.1      -0.04987244125983972      -0.04987244125983976
           1.2      -0.08537409000331583      -0.08537409000331585
           1.3       -0.1081748095078604       -0.1081748095078605
           1.4       -0.1196129141723712       -0.1196129141723713
           1.5       -0.1207822376352452       -0.1207822376352453
           1.6       -0.1125917656967557       -0.1125917656967558
           1.7      -0.09580769740706586      -0.09580769740706586
           1.8      -0.07108387291437215      -0.07108387291437215
           1.9      -0.03898427592308333      -0.03898427592308337
             2                         0                         0
             3        0.6931471805599453        0.6931471805599454
             4         1.791759469228055         1.791759469228055
            10         12.80182748008147         12.80182748008147
            20         39.33988418719949         39.33988418719949
            30         71.25703896716801           71.257038967168

R8_GAMMA_LOG_TEST
  Normal end of execution.

TOMS515_TEST:
  Normal end of execution.
Thu Sep 13 19:28:58 2018