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C语言结构体里的成员数组和指针 - C/C++ - 清泛网 - 专注C/C++及内核技术

...。后面代码里的 this_length(长度是10)代表是我想分配的数据的长度。(这看上去是不是像一个C++的类?)这种玩法英文叫:Flexible Array,中文翻译叫:柔性数组。 我们来用gdb看一下: 1 2 3 4 5 6 7 8 ...
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Which is better in python, del or delattr?

... The dis module. You can run it from the command line using python -m dis and typing in some code, or disassemble a function with dis.dis(). – Miles Jul 13 '09 at 18:04 ...
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Python argparse ignore unrecognised arguments

... Nor did I! I even missed it in the docs docs.python.org/library/…. Thanks – joedborg Oct 10 '12 at 14:11 1 ...
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Calculating Pearson correlation and significance in Python

... @dfrankow I think it's because imap cannot handle float. python gives an TypeError: unsupported operand type(s) for -: 'itertools.imap' and 'float' at num = psum - (sum_x * sum_y/n) – alvas Jan 24 '13 at 14:17 ...
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What is the pythonic way to detect the last element in a 'for' loop?

I'd like to know the best way (more compact and "pythonic" way) to do a special treatment for the last element in a for loop. There is a piece of code that should be called only between elements, being suppressed in the last one. ...
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How is set() implemented?

I've seen people say that set objects in python have O(1) membership-checking. How are they implemented internally to allow this? What sort of data structure does it use? What other implications does that implementation have? ...
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Are list-comprehensions and functional functions faster than “for loops”?

In terms of performance in Python, is a list-comprehension, or functions like map() , filter() and reduce() faster than a for loop? Why, technically, they run in a C speed , while the for loop runs in the python virtual machine speed ?. ...
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Extract a part of the filepath (a directory) in Python

... In Python 3.4 you can use the pathlib module: >>> from pathlib import Path >>> p = Path('C:\Program Files\Internet Explorer\iexplore.exe') >>> p.name 'iexplore.exe' >>> p.suffix '.exe' >&g...
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Python function global variables?

... Within a Python scope, any assignment to a variable not already declared within that scope creates a new local variable unless that variable is declared earlier in the function as referring to a globally scoped variable with the keywo...
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Share Large, Read-Only Numpy Array Between Multiprocessing Processes

...know about this one. No. Refer to example below. Example #!/usr/bin/env python from multiprocessing import Process import sharedmem import numpy def do_work(data, start): data[start] = 0; def split_work(num): n = 20 width = n/num shared = sharedmem.empty(n) shared[:] = nump...