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    python new test framework is required. updated in this fork

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    Python: Random tests are vulnerable to input modification

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    My program sometimes passes the tests and sometimes not, but the code is the same. Is this a problem with the test cases?

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    Python:

    • Tests use rounding as a workaround for equality of floats

    General:

    • Description should use Markdown instead of HTML formatting, and possibly some KaTeX for math notation.
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    The instructions don't cover the case of an empty input string well enough.
    From the description I would assume that rule number 5 applies (because all other rules don't match and because an empty string has no vowels).

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    No random tests.

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    Ruby 3.0 should be enabled.

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    Link needs to properly inserted.
    Wikipedia link states:

    When referred to as the divisor function, it counts the number of divisors of an integer (including 1 and the number itself)

    and here:

    where σ is the divisor function (or sum of all divisors)

    Clearly sum != count, that needs to be fixed.

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    • Tests are not enough stressing: brute O(N²) solutions pass the tests.
    • This kata is far older than this one, but it is far less well conceived. I think ecolban's one should have the precedence.
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    The images in the description are broken.

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    I have several suggestions to improve this Kata.

    I suggest that the title be changes to 'Variance in the length of words in an array'. This is a little clearer.

    The section describing the requirement to limit the result to four decimal places was not clear to me. I suggest that in addition to updating the description that you also add a test case illustrating this requirement.

    I am unfamiliar with the term 'aleatory variable' and prefer the term 'random variable'.

    Thanks for your contribution.

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    Interesting kata! There are the following issues:

    • the link to the other kata leads to nowhere.
    • it should be clarified that here divisors include the number itself; that is, the traditional perfect numbers are defined by k = 2. An example larger than 1 would help.
    • I would suggest to test for higher numbers. Now even the most unefficient algorithms easily pass.
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    Should have example test cases

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    Description is kind of hard to read, it also suggests one specific solution.

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