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.net localhost website consistently making get arterySignalR/poll?transport=longPolling&connectionTo

... It makes 20K requests in less than 30 seconds and uses cpu heavily. The feature might be useful but it causes too much trouble even on an intel i7 cpu – dvdmn Dec 10 '14 at 20:55 ...
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Is it safe to shallow clone with --depth 1, create commits, and pull updates again?

...Richard Michael: to backfill history: git pull --unshallow And Olle Härstedt adds in the comments: To backfill part of the history: git fetch --depth=100. share | improve this answer ...
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How to use shared memory with Linux in C

...u casting 0 into a void* instead of using NULL ? – Clément Péau Mar 28 '17 at 15:45 However this code doesn't handle...
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Hashing a file in Python

...chunks the hash function finds ideal which makes it faster or at lest less CPU intensive to compute the hash function. So instead of disabling buffering and trying to emulate it yourself, you use Python buffering and control what you should be controlling: what the consumer of your data finds ideal,...
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Multiple commands in gdb separated by some sort of delimiter ';'?

...te command from clipboard and execute it. – Jean-François Fabre♦ Nov 5 '18 at 13:15 add a comment  |  ...
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Delete newline in Vim

... answered May 27 '16 at 21:44 Néstor WaldydNéstor Waldyd 53044 silver badges66 bronze badges ...
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iOS 7 style Blur view

... of course, FXBlurView is good option,but when there is matter of CPU usage. than i prefer other blurView. i use this in my UICollectionVIew and UITableView but it increase my CPU usage. in next run i comment those allocations and it becomes normal. i hope, this will help someone. ...
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How do I override __getattr__ in Python without breaking the default behavior?

...answered Aug 11 '15 at 14:30 José LuisJosé Luis 2,86233 gold badges2525 silver badges3131 bronze badges ...
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Multiprocessing: How to use Pool.map on a function defined in a class?

...eak q_out.put((i, f(x))) def parmap(f, X, nprocs=multiprocessing.cpu_count()): q_in = multiprocessing.Queue(1) q_out = multiprocessing.Queue() proc = [multiprocessing.Process(target=fun, args=(f, q_in, q_out)) for _ in range(nprocs)] for p in proc: p.da...
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Changes in import statement python3

...d Oct 20 '15 at 18:16 Akseli PalénAkseli Palén 23.3k55 gold badges5353 silver badges6767 bronze badges ...