I recommend you to add additional test cases where only one key word, either operation or Orthos, appears in your input. Currently, the two words always appear simultaneously (unless they are both absent), and thus, one only needs to check the existence of a single word.
I also noticed that the iteration number qBig currently being used is too small (and your timing result is only in milliseconds, but there are other overheads which can cause very unreliable measurements). You should use larger qBig, at least 10000. Please note that Cody allows for at least 30 seconds for solution evaluations. So the evaluation time should be in the scale of seconds. This way, any solution runs too slow (e.g., in the scale of minutes) won't pass. This way, without modifying Cody's default scoring system, you automatically force people to focus on improving the code performance, rather than just reducing the code size. Also note that your current modification of the scoring function is an outdated hack to Cody's default scoring system, which does not work any more.
Hi, Peng Liu. Thanks for your feedback. TEST CASES: Even though both words always appear simultaneously, only checking for one would engender a high risk of failing Test 4. I do have planned one more decoding problem that would be like what you suggest, though. TIMING: Thanks for the extra information. Actually I'd cut down qBig — somehow I had the idea Cody only allowed a couple of seconds to run, at most. Based on your helpful advice I'll boost qBig. SCORING: Yes, I agree that it's an outdated hack. Hence I revised the wording of the introduction and commented out (almost) all of the size-related code in the Test Suite, compared to the Operation Phoenix problem.
Everything right but changing the class of the shift to uint8. :-(
Much appreciated that you've provided this example :-)
Sums with Excluded Digits
Implement a ROT13 cipher
Approximation of Pi
Scrabble Scores - 2
Rate of event occurence: find percentiles of the distribution (for smallish rates)
Monte Carlo integration: area of a polygon
Testing for randomness: uniform distribution of real numbers (distribution checking)
Comparison of floating-point numbers (singles)
Curve fitting (non-linear functions) & function handles
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