Fri Nov 25 17:44:58 2022

roulette_simulation_test():
  Python version: 3.6.9
  Test roulette_simulation().

roulette_result_test():
  roulette_result() returns results of N spins of a roulette
  wheel with M = 36/37/38 pockets.

  M =  36
  N =  3600

  Value, Frequency
[[  1.  84.]
 [  2. 109.]
 [  3.  85.]
 [  4.  99.]
 [  5. 113.]
 [  6. 112.]
 [  7. 112.]
 [  8. 110.]
 [  9. 103.]
 [ 10.  72.]
 [ 11.  90.]
 [ 12. 103.]
 [ 13.  98.]
 [ 14.  94.]
 [ 15. 103.]
 [ 16.  95.]
 [ 17.  93.]
 [ 18. 100.]
 [ 19.  94.]
 [ 20. 103.]
 [ 21. 106.]
 [ 22.  97.]
 [ 23. 100.]
 [ 24.  85.]
 [ 25.  98.]
 [ 26. 107.]
 [ 27.  95.]
 [ 28. 110.]
 [ 29.  99.]
 [ 30. 102.]
 [ 31.  99.]
 [ 32. 111.]
 [ 33. 103.]
 [ 34. 114.]
 [ 35.  96.]
 [ 36. 106.]]

roulette_value_test():
  roulette_value() returns the value of N spins of a roulette
  wheel with M = 36/37/38 pockets.

  Here, we bet $10 on red every time.

       M=36        M=37        M=38

         260       -1480       -1240
i4vec_sorted_unique_hist_test():
  i4vec_sorted_unique_hist_test() is given a sorted array
  of integers, and returns the number of unique values,
  the unique values, and their frequency.

  The sorted vector
[ 0  0  0  0  0  0  0  2  3  5  6  6  6  6  6  8  9  9  9 10 12 12 15 16
 18 18 18 18 18 20 20 24 30 30 36 40 40 42 42 45 48 48 50 56 56 63 70 80
 90 90]

  Unique values and frequencies:
[[ 0.  7.]
 [ 2.  1.]
 [ 3.  1.]
 [ 5.  1.]
 [ 6.  5.]
 [ 8.  1.]
 [ 9.  3.]
 [10.  1.]
 [12.  2.]
 [15.  1.]
 [16.  1.]
 [18.  5.]
 [20.  2.]
 [24.  1.]
 [30.  2.]
 [36.  1.]
 [40.  2.]
 [42.  2.]
 [45.  1.]
 [48.  2.]
 [50.  1.]
 [56.  2.]
 [63.  1.]
 [70.  1.]
 [80.  1.]
 [90.  2.]]

roulette_simulation_test():
  Normal end of execution.
Fri Nov 25 17:44:59 2022