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HINSTANCE ShellExecute( _In_opt_ HWND hwnd, _In_opt_ LPCTSTR lpOperation, _In_ LPCTSTR lpFile, _In_opt_ LPCTSTR lpParameters, _In_opt_ LPCTSTR lpDirectory, _In_ INT nShowCmd ); |
我们在Windows上进行一些开发的时候，能善于利用Windows开放出来的应用程序编程接口（Windows API）往往能使我们事半功倍。而且往往有些操作不可避免的需要使用Windows的内部函数。
Microsoft在MSDN上将每个Windows函数的原型和使用方法（基于C++）都公布出来了。
（小技巧：在已知函数名的情况下可以百度或Google“函数名 function (Windows)”获得其在MSDN中的页面。）
怎样阅读并使用Windows API？
以ShellExecute函数为例：
http://msdn.microsoft.com/en-us/library/windows/desktop/bb762153%28v=vs.85%29.aspx
函数原型句法（Syntax）：
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HINSTANCE ShellExecute( _In_opt_ HWND hwnd, _In_opt_ LPCTSTR lpOperation, _In_ LPCTSTR lpFile, _In_opt_ LPCTSTR lpParameters, _In_opt_ LPCTSTR lpDirectory, _In_ INT nShowCmd ); |
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类型 函数名( _微软源代码注释语言_ 参数类型 参数名 ); |
Time Limit:10000ms
Case Time Limit:3000ms
Memory Limit:256MB
In a running system, there are many logs produced within a short period of time, we’d like to know the count of the most frequent logs.
Logs are produced by a few non-empty format strings, the number of logs is N(1<=N<=20000), the maximum length of each log is 256.
Here we consider a log same with another when their edit distance (see note) is <= 5.
Also we have a) logs are all the same with each other produced by a certain format string b) format strings have edit distance 5 of each other.
Your program will be dealing with lots of logs, so please try to keep the time cost close to O(nl), where n is the number of logs, and l is the average log length.
Note edit distance is the minimum number of operations (insertdeletereplace a character) required to transform one string into the other, please refer to
http://en.wikipedia.orgwikiEdit_distance for more details.
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