classSolution {public: std::unordered_map<int,int>map;for(inti =0; i < nums.size(); i++) {//遍历当前元素,并在map中寻找是否有匹配的keyauto iter = map.find(target -nums[i]);if(iter !=map.end()) {return{iter->second, i}; }//如果没找到匹配对,就把访问过的元素和下标加入到map...
(900,"CM")); m.insert(pair<int,string>(1000,"M"));stringroman;map<int,string>::iterator iter;for(iter=m.end();iter !=m.begin();iter--){while(i >=iter->first){ roman+=iter->second; i-=iter->first; } }returnroman; }intmain(){inttest=12345;cout<< arabic2roman(test) <...
voidFunctionContainer::countReturnTypes(std::map<std::string,int> &counts,constStringToFunctionScopePtrVecMap *redec) {for(StringToFunctionScopePtrMap::const_iterator iter = m_functions.begin(); iter != m_functions.end(); ++iter) { FunctionScopePtr f = iter->second;if(f->isLocalRedeclarin...
}+/// lookup - Return the entry for the specified key, or a default+/// provided value if no such entry exists.+const ValueTy &lookup(StringRef Key, const ValueTy& Value) const {+const_iterator Iter = find(Key);+if (Iter != end())+return Iter->second;+return Value;+}+/// ...
f = open('/etc/passwd')dir(f)# ['__class__', '__enter__', '__exit__', '__iter__', '__new__', 'writelines', '...' 生成器 Python使用生成器对延迟操作提供了支持。所谓延迟操作,是指在需要的时候才产生结果,而不是立即产生结果。这也是生成器的主要好处。
% second part i_2=1; while(abs(data(362)) > 0.10 || abs(data(363)) > 0.10 || abs(data(364)) > 0.10) i_2=i_2+1; ifi_2==361; errordlg('iteration cannot be converged','Error!','modal') return end end %third part ...
6、函数终止的时候,StopIteraion会被自动抛出。 举例 #简单的生成器函数defmy_gen(): n=1print("first")#yield区域yieldn n+=1print("second")yieldn n+=1print("third")yieldn a=my_gen()print("next method:")#每次调用a的时候,函数都从之前保存的状态执行print(next(a))print(next(a))print(ne...
second timestamp to_string total_microseconds total_milliseconds total_minutes total_nanoseconds total_seconds year MarcoGorelli added documentation high priority labels Oct 31, 2024 Member Author MarcoGorelli commented Nov 1, 2024 we can resolve this by adding a Returns section, which will then pi...
6、函数终止的时候,StopIteraion会被自动抛出。 举例 # 简单的生成器函数 def my_gen(): n=1 print("first") # yield区域 yield n n+=1 print("second") yield n n+=1 print("third") yield n a=my_gen() print("next method:")
it = iter(letters) for letter in it: print(letter) yield 2 次,就可以 next 2 次: >>> def multi_yield(): ... yield_str = "This will print the first string" ... yield yield_str ... yield_str = "This will print the second string" ...