In Python, it seems I had the same problem as some others as well: In the random tests, my result was sometimes off by 0.01. This happened a few times, every time on only one of the tests. I was able to pass by attempting a bunch of times though...

This Kata easier than it seems for first glance!

i tried running your solution and it passed all the tests

Have passed 363 tests but failed 3 ('Austrian Black and Tan Hound', 'Styrian Coarse-haired Hound', 'Combai') which my code is throwing up as "None". I don't have enough info about the dogs dictionary to see why such a specific error is happening.

JS Translation

python new test frameworks

Fixed in recently approved Python fork.

Approved.

Taking a pen and a piece of paper, I rewrote one of these tests and started counting manually. I figured that the test had the correct answers, which meant that the error was somewhere in my code. It turned out that my function, which searches for similar characters for two strings, searches for unique similar characters. For example, check whether your code works correctly with the arguments 'aab' and 'aaa'.

it is solution from chat gpt

pls help, i got all test ok, exept 2: "27.99 should equal 27.98", "5.4 should equal 5.39". Get std and mean of sample -> create new_sample (remove outlier) -> check if len(sample) != len(new_sample) call clean_mean(new_sample, cutoff) -> return the result. For example with sample = [1.01, 0.99, 1.02, 1.01, 0.99, 0.97, 1.03, 0.99, 1.02, 0.99, 3, 10] and cutoff = 2 i call clean_mean 3 tiems (get rid of 10, 3, and return mean of [1.01, 0.99, 1.02, 1.01, 0.99, 0.97, 1.03, 0.99, 1.02, 0.99]

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Merged

fixed.

nice :)