Wed Oct  8 07:30:19 2025

counterfeit_detection_test():
  Python version: 3.10.12
  Test counterfeit_detection().

counterfeit_detection_brute_test():
  python version: 3.10.12
  numpy version:  1.26.4
  counterfeit_detection_brute() seeks to identify multiple
  counterfeit coins among n coins using brute force.

  There were 10 fakes

  Indices of fakes:

  0:  4  16.3517
  1:  17  19.9452
  2:  28  14.1184
  3:  29  12.9462
  4:  41  15.5422
  5:  50  14.7057
  6:  54  15.6623
  7:  67  17.8549
  8:  75  20.3852
  9:  96  16.7896

  The function found 10 suspects.

  Indices of suspects:

  0:  4  16.3517
  1:  17  19.9452
  2:  28  14.1184
  3:  29  12.9462
  4:  41  15.5422
  5:  50  14.7057
  6:  54  15.6623
  7:  67  17.8549
  8:  75  20.3852
  9:  96  16.7896

counterfeit_detection_combinatorial_test():
  counterfeit_detection_combinatorial() which can identify
  one counterfeit coin among 2^logn-1 coins using just
  logn comparisons.

  7 coins were checked
  The fake coin was number 4
  3 comparisons were made
  The suspected coin is number 4

counterfeit_detection_compressed_test():
  counterfeit_detection_compressed() seeks to identify
  multiple counterfeit coins among n coins
  using compressed sensing techniques.
  There are 100 coins to check.
  The correct coin weight is 17

  There were 3 fakes

     Fake  Index  Weight::

        0:    24  17.5
        1:    71  17.5
        2:    88  17.5

  20 random subsets were weighed.
  The function found 3 suspects.

  Suspect  Index  Weight:

        0:    24  17.5
        1:    71  17.5
        2:    88  17.5

  The test succeeded

counterfeit_detection_test():
  Normal end of execution.
Wed Oct  8 07:30:19 2025