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Collections are a way for you to organize kata so that you can create your own training routines. Every collection you create is public and automatically sharable with other warriors. After you have added a few kata to a collection you and others can train on the kata contained within the collection.
Get started now by creating a new collection.
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This comment is hidden because it contains spoiler information about the solution
This comment is hidden because it contains spoiler information about the solution
python new test frameworks
for anyone solving this currently and confused by this edgecase: The solver appears to expect the output array to grow by at least 2 on each iteration, so if your result is an empty array after trimming leading and trailing zeroes you can create a new array of list.length + 2 and fill it with zeroes.
thought this will be voted most... go for the shortest version for the sake of it... damn..
first time I solved something so easily and it was the first solution (I'm always trying to get the same solution as the first, even if I know how to write it less elegantly)
I'm not too sure, but I think these builtins are internally written in C, making them automatically blazing fast. Calling the solution "horribly inefficient" is really dramatic. On the grand scheme of things, this is still an O(n) solution. It is also incredibly readable. I have run some cursory benchmarks and the "inefficient" method gobsmacks yours for all list lengths I've tried (we're talking around more than 3x faster than yours). Take this with a grain of salt since they're informal tests, but it should hopefully make you reconsider making hasty performance comments in the future. I'll attach it spoilered below.
can't think of any other solution
That's why be in hurry for efficiency is too far from the target in this problem.
In this case, I prefer a more readable solution... that's ok all the matter about the performance but, also the context is very important.
No. If you parse the array twice it's still O(N) (O(2N) == O(N)). O(N^2) would be the case of a nested loop.
Your reply is non-sensical...I'm not sure where language comes into play here.
This solution runs in O(N^2) because it requires iterating through the array twice before returning.
With a two pointer solution, you traverse the array once, in O(N), which is more efficient.
if you want efficiency, you should use other programming languages...
Python is not famous for its efficiency...
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