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How to find if a native DLL file is compiled as x64 or x86?
...hat DUMPBIN says is 32-bit ("14C machine (x86)"), but corflags says is Any CPU ("PE: PE32, 32BIT: 0"). Dependency Walker also misdiagnoses it.
– Pierre
Aug 27 '13 at 14:54
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select、poll、epoll之间的区别总结[整理] - C/C++ - 清泛网 - 专注C/C++及内核技术
...），还是没人唤醒，则调用select的进程会重新被唤醒获得CPU，进而重新遍历fd，判断有没有就绪的fd。
（8）把fd_set从内核空间拷贝到用户空间。
总结：
select的几大缺点：
（1）每次调用select，都需要把fd集合从用户态拷贝到...
When and why will a compiler initialise memory to 0xCD, 0xDD, etc. on malloc/free/new/delete?
... In todays world, Data Execution Prevention doesn't even allow the CPU to fetch an instruction from the heap. This answer is outdated since XP SP2.
– MSalters
Apr 5 '17 at 8:27
2
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How to import data from mongodb to pandas?
...database or even use find_one() to get only one element from the database, etc.
and voila!
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Create a string with n characters
...rmance, thus all the gory details of StringBuilder, Compiler optimisations etc. are hidden.
If the function would turn out as slow it would be a bug of the library.
With Java 11 it becomes even easier:
" ".repeat(length);
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Sum a list of numbers in Python
... So you want (element 0 + element 1) / 2, (element 1 + element 2) / 2, ... etc.
We make two lists: one of every element except the first, and one of every element except the last. Then the averages we want are the averages of each pair taken from the two lists. We use zip to take pairs from two lis...
Search all the occurrences of a string in the entire project in Android Studio
...an be found in the context menu, when the cursor is on some field, method, etc.
It's context-aware, and as far as I know, is the best way to find class, method or field usage.
Alternatively, you can use the
Edit > Find > Find in path…
dialog, which allows you to search the whole wo...
node.js execute system command synchronously
...lling exec-sync or ffi on Windows has a huge overhead (VC++, SDKs, Python, etc), but this is lighter.
– Mendhak
Jan 2 '14 at 12:56
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How do I enlarge an EER Diagram in MySQL Workbench?
...sr/share/mysql-workbench
Cairo Version: 1.13.1
OS: Linux 3.13.0-76-generic
CPU: 4x Intel(R) Core(TM)2 Quad CPU @ 2.40GHz (1596.000MHz) - 5,83GiB RAM
Distribution: Ubuntu 14.04.3 LTS
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Efficient evaluation of a function at every cell of a NumPy array
...ime generated C-function as ufunc
import numba as nb
@nb.vectorize(target="cpu")
def nb_vf(x):
return x+2*x*x+4*x*x*x
It easily beats np.vectorize but also when the same function would be performed as numpy-array multiplication/addition, i.e.
# numpy-functionality
def f(x):
return x+2*x*x...