We know that after an iterator is exhausted, it raises aStopIteration exception each timenext is called on it. There is no way to reset or restart an iterator. If you need to iterate over the same data stream again, then you will have to create a new fresh iterator by callingiter funct...
This method should return a new iterator objectthat can iterate over all the objects in the container. 该方法应当返回一个新的迭代器对象,该迭代器对象可以迭代容器中的所有对象。 Iterator objects also need to implement this method; they are required to return themselves. 迭代器对象也需要实现该方法,...
# Forward iterator def __iter__(self): n = self.start while n > 0: yield n n -= 1 # Reverse iterator def __reversed__(self): n = 1 while n <= self.start: yield n n += 1 print(format('逆序','*>20')) for rr in reversed(Countdown(5)): ...
In this example, theforloop iterates over the elements of the iterator object. On each iteration, the loop assigns the value of the next element to the variable element, and then executes the indented code block. This process continues until the iterator is exhausted, at which point the for...
itr = iter([1,2,3]) # itr is a value of type list_iterator # Fully consumes itr, outputting # # 1 # 2 # 3 for x in itr: print(x) # Produces no output, because there is nothing left in itr to iterate over for x in itr: ...
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# Iterate over the CallbackToIterator instance answer=""total_tokens=0formessageinws.iterator:data=json.loads(message)code=data["header"]["code"]ifcode!=0:ws.close()raiseException(f"请求错误: {code}, {data}")else:choices=data["payload"]["choices"]status=choices["status"]content=choices...
Iteration is a process of using a loop to access all the elements of a sequence. Most of the time, we usefor loopto iterate over a sequence. But there are some times when we need to iterate over a sequence using a different approach. In those cases, we need to use aniterator. ...
File "<stdin>", line 1, in <module> TypeError: 'linehistory' object is not an iterator >>> # Call iter() first, then start iterating >>> it = iter(lines) >>> next(it) 'hello world\n' >>> next(it) 'this is a test\n' >>> 4.7 迭代器切片 想得到一个迭代器生成的切片对象...
classenumerate(Iterator[Tuple[int,_T]],Generic[_T]):def__init__(self,iterable:Iterable[_T],start:int=...)->None:...def__iter__(self)->Iterator[Tuple[int,_T]]:...ifsys.version_info>=(3,):def__next__(self)->Tuple[int,_T]:...else:defnext(self)->Tuple[int,_T]:.. 生成...