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Is there a working C++ refactoring tool? [closed]
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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...
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...
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 ...
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…'
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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
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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...
Are static class variables possible in Python?
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1947
Variables declared inside the class definition, but not inside a method are class or static var...
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...
