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Is there a working C++ refactoring tool? [closed]

... | edited Mar 26 '14 at 9:02 answered Sep 7 '09 at 9:43 ...
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Using arrays or std::vectors in C++, what's the performance gap?

...ons on vectors and arrays/pointers. // Assembly code was generated by gcc 4.1.0 invoked with g++ -O3 -S on a // x86_64-suse-linux machine. #include <vector> struct S { int padding; std::vector<int> v; int * p; std::vector<int>::iterator i; }; int pointer_index (S &a...
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第一个Hello,OS World操作系统 - 操作系统(内核) - 清泛网 - 专注C/C++及内核技术

... 1 ; Boot内容占几个扇区 DB 2 ; 共有多少FAT表 DW 224 ; 根目录文件数最大值 DW 2880 ; 扇区总数 DB 0xf0 ; 介质描述符 DW 9 ; 每FAT扇区数 DW 18 ; 每磁道扇区数 DW 2 ; 磁头数(面数) DD 0 ; 隐藏扇区数 DD 288...
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Conveniently Declaring Compile-Time Strings in C++

... static_assert(my_string.size() == 13, ""); static_assert(my_string[4] == 'o', ""); constexpr str_const my_other_string = my_string; static_assert(my_string == my_other_string, ""); constexpr str_const world(my_string, 7, 5); static_assert(world == "world", ""); // constexpr ...
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How can you zip or unzip from the script using ONLY Windows' built-in capabilities?

...ip-folder-from-the-command-line-windows From Windows 8 on, .NET Framework 4.5 is installed by default, with System.IO.Compression.ZipArchive and PowerShell available, one can write scripts to achieve this, see https://stackoverflow.com/a/26843122/71312 ...
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How to solve PHP error 'Notice: Array to string conversion in…'

... answered Nov 16 '13 at 10:43 jadkik94jadkik94 6,00422 gold badges2323 silver badges3535 bronze badges ...
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How to print from GitHub

... 34 Using GitPrint is great way to directly print files from Github. ...
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谁在争抢UGC - 资讯 - 清泛网 - 专注C/C++及内核技术

...新闻客户端发布独家主笔文章,引来一片哗然。如同今年4...本月,凤凰新闻客户端邀请网络红人“凤姐”--罗玉凤为签约主笔。之后,“凤姐”将定期在凤凰新闻客户端发布独家主笔文章,引来一片哗然。如同今年4月,罗玉凤...
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Are static class variables possible in Python?

... 1947 Variables declared inside the class definition, but not inside a method are class or static var...
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Naming returned columns in Pandas aggregate function? [duplicate]

...om.load_data('Loblolly') print(data.head()) # height age Seed # 1 4.51 3 301 # 15 10.89 5 301 # 29 28.72 10 301 # 43 41.74 15 301 # 57 52.70 20 301 df = data.groupby('Seed').agg( {'age':['sum'], 'height':['mean', 'std']}) print(df.head()) # age h...