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imac은 magic mouse와 잘 어울리는 무선 키보드를 채택하여 책상을 어지럽게 만드는 요소를 완전히 제거하였습니다. 두께가 얇은 이 키보드는 큰 키보드보다 공간을 24% 더 적게 차지하고 숫자 키패드가 없으므로 마우스를 키보드 옆에 편하게 둘 수 있습니다.
imac banishes desktop clutter completely with a wireless keyboard to go with the wireless magic mouse. this low-profile keyboard takes up less desk space - 24 per cent less - than larger keyboards. there's no numeric keypad, so you can place your mouse comfortably next to the keyboard.
the functions in this module try to guess the content type and encoding of a file by looking for certain magic byte sequences at specific positions within the file. while this is not a bullet proof approach the heuristics used do a very good job.
while this is not a bullet proof approach the heuristics used do a very good job.
magic trackpad 더 알아보기mac 데스크탑과 함께 사용하도록 디자인된 첫 multi-touch 트랙패드를 imac에서도 사용할 수 있습니다. macbook 및 macbook pro의 트랙패드처럼 magic trackpad도 multi-touch 조작법을 모두 지원합니다. magic trackpad 더 알아보기
learn more about magic trackpadalso available for your imac, the new magic trackpad is the first multi-touch trackpad designed to work with your mac desktop computer. like the trackpad on a macbook or macbook pro, magic trackpad supports a full set of multi-touch gestures. learn more about magic trackpad
it is a bad idea to use magic quotes and ocibindbyname() simultaneously as no quoting is needed on quoted variables and any quotes magically applied will be written into your database as ocibindbyname() is not able to distinguish magically added quotings from those added by intention.
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since streams are automatically cleaned up, it's tempting to think that we can get away with being sloppy programmers and not bother to close the streams when we are done with them. although such an approach might work, it is not a good idea for a number of reasons: streams hold locks on system resources while they are open, so leaving a file open after you have finished with it could prevent other processes from accessing it. if a script deals with a large number of files, the accumulation of the resources used, both in terms of memory and the sheer number of open files, can cause web server requests to fail. sounds bad, doesn't it? the streams api includes some magic that helps you to keep your code clean - if a stream is not closed by your code when it should be, you will find some helpful debugging information in you web server error log.
if a script deals with a large number of files, the accumulation of the resources used, both in terms of memory and the sheer number of open files, can cause web server requests to fail.