chii | Remote debugging tool | Code Inspection library
kandi X-RAY | chii Summary
kandi X-RAY | chii Summary
Remote debugging tool like weinre, replacing web inspector with the latest chrome devtools frontend.
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QUESTION
This is my code
...ANSWER
Answered 2020-Mar-31 at 13:24What you want is not 100% clear from the question, but I think you simply want a function that would have a switch
inside returning which page the user should go to?
In that case, you might want to check out:
2. One Possible SolutionCreate a
switch
function for deciding which page to switch to. Instead of usingString
s, I highly suggest usingenum
s. But both are possible.
QUESTION
I'm doing a Romanian hyphenation script. Previous question (solved) is here: regex if capture group matches string in case you want to take a look This is a regex that deal with vowels that are not diphthongs or triphthongs:
...ANSWER
Answered 2018-Nov-19 at 12:53You may use
QUESTION
For a Haskell Tic Tac Toe game, I am trying to zip two Rose Trees. I have defined the rose tree as
...ANSWER
Answered 2018-Sep-27 at 18:42chib
and chii
are lists of trees, not trees themselves. You can't just call zipTrees
on them. You will need to either recurse
QUESTION
I am optimizing a bottleneck section of my code--iterating on a function a' = f(a), where a and a' are N by 1 vectors, until max(abs(a' - a)) is sufficiently small.
I have put a Numba wrapper on f(a), and got a nice speedup over the most optimized pure NumPy version I was able to produe (cut runtime by about 50%).
I tried writing a C-compatible version of numpy.max(numpy.abs(aprime - a)), but it turns out this is slower! I actually lose back ALL of the gains I got from Numba-fying the first portion of the iteration!
Is there likely to be a way for Numba or Cython to improve upon numpy.max(numpy.abs(aprime - a))? I reproduce my code below for reference, where a is P0 and a' is Pprime:
EDIT: For me, it seems that it is important to "flatten()" the inputs to "maxabs()". When I do this, the performance is no worse than NumPy. Then, when I do a "dry run" of the function outside the timing brackets as JoshAdel suggested, the loop with "maxabs" does slightly better than the loop with numpy.max(numpy.abs()).
...ANSWER
Answered 2017-Apr-20 at 00:12When I time your maxabs
function vs np.max(np.abs(vec1 - vec2))
for an array of shape (1200,)
, the numba version is ~2.6x faster using numba 0.32.0.
When you time the code, make sure you run your function once before you time it so that you don't include the time it takes to jit the code, which you only pay the first time. In general using timeit
and running multiple times takes care of this. I'm not sure how you did the timing though since I see almost no difference in using maxabs
vs the numpy call, most of the runtime seems to be in the call to Piteration
.
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