int max(int num1, int num2); int main () { //局部变量声明 int a = 100; int b = 200; int ret; // 调用函数来获取最大值 ret = max(a, b); cout << "Max value is : " << ret << endl; return 0; } // 函数返回两个数中较大的那个数 int max(int num1, int num2) { ...
//predictif(!embd.empty()) {//Note: (n_ctx - 4) here is to match the logic for commandline prompt handling via//--prompt or --file which uses the same value.intmax_embd_size = n_ctx -4;//Ensure the input doesn't exceed the context size by truncating embd if necessary.if((i...
INT32_MAX和INT32_MIN分别为int32_t的最大值和最小值。 注意:混用定宽整数类型和普通整数类型可能会影响跨平台编译,例如: cpp #include<cstdint>#include<iostream>intmain(){longlonga;int64_tb;std::cin >> a >> b;std::cout << std::max(a, b) << std::endl;return0;} int64_t在64位 Wind...
private extern static int Increment(int value); 在Bulk_Assembly-CSharp_0.cpp文件中,查找“HelloWorld_Increment_m3”函数。为“Increment”提供封装的函数像下面这个样子: extern "C" {int32_t DEFAULT_CALL Increment(int32_t);} extern "C" int32_t HelloWorld_Increment_m3 (Object_t * __this /*st...
int num; cin >> num; 这将从标准输入流中读取一个整数,并将其存储在变量num中。 读取浮点数: cpp复制代码 double num; cin >> num; 这将从标准输入流中读取一个浮点数,并将其存储在变量num中。 读取多个相同类型的数据: cpp复制代码 int a, b, c; ...
同时需要支持co_yield操作,则协程的promise需要实现yield_value() structpromise;structcoroutine:std::coroutine_handle<promise>{usingpromise_type=net::promise;};structpromise{intret_val;coroutineget_return_object(){return{coroutine::from_promise(*this)};}std::suspend_neverinitial_suspend()noexcept{return...
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( DWORD, LPTSTR * ); VOID SvcReportEvent( LPTSTR ); // // Purpose: // Entry point for the process // // Parameters: // None // // Return value: // None, defaults to 0 (zero) // int __cdecl _tmain(int argc, TCHAR *argv[]) { // If command-line parameter is "install"...
( LPTSTR );/// Purpose:// Entry point for the process/// Parameters:// None/// Return value:// None, defaults to 0 (zero)//int__cdecl _tmain(intargc, TCHAR *argv[]) {// If command-line parameter is "install", install the service.// Otherwise, the service is probably being...
Change type of n_threads and n_threads_batch from uint32_t to int32 in native extension codes. Implementation bindings for llama_attach_threadpool and llama_detach_threadpool have been skipped. [0.17.9] - 2024-08-31 Change supported llama.cpp version to b3639. ...