我认为当你想要某种has_next功能时，有一些有效的用例，在这种情况下，你应该用定义了has_next的迭代器来装饰迭代器。

结合这个问题的答案的概念，这里是我的实现，这对我来说是一个很好的简洁的解决方案(python 3.9):

_EMPTY_BUF = object()


class BufferedIterator(Iterator[_T]):
    def __init__(self, real_it: Iterator[_T]):
        self._real_it = real_it
        self._buf = next(self._real_it, _EMPTY_BUF)

    def has_next(self):
        return self._buf is not _EMPTY_BUF

    def __next__(self) -> _T_co:
        v = self._buf
        self._buf = next(self._real_it, _EMPTY_BUF)
        if v is _EMPTY_BUF:
            raise StopIteration()
        return v

主要的区别是has_next只是一个布尔表达式，也处理None值的迭代器。

将此添加到这里的测试和示例使用的要点。

建议的方法是StopIteration。 请参阅tutorialspoint中的斐波那契示例

#!usr/bin/python3

import sys
def fibonacci(n): #generator function
   a, b, counter = 0, 1, 0
   while True:
      if (counter > n): 
         return
      yield a
      a, b = b, a + b
      counter += 1
f = fibonacci(5) #f is iterator object

while True:
   try:
      print (next(f), end=" ")
   except StopIteration:
      sys.exit()

使用next(迭代器，default_value)可以替代StopIteration。

For exapmle:

>>> a = iter('hi')
>>> print next(a, None)
h
>>> print next(a, None)
i
>>> print next(a, None)
None

因此，如果你不想用异常方式，你可以为None或其他预先指定的值检测迭代器的end。

使用“for”可以实现他自己版本的“next”避免异常

def my_next(it):
    for x in it:
        return x
    return None

引导我进行搜索的用例如下

def setfrom(self,f):
    """Set from iterable f"""
    fi = iter(f)
    for i in range(self.n):
        try:
            x = next(fi)
        except StopIteration:
            fi = iter(f)
            x = next(fi)
        self.a[i] = x 

hasnext()在哪里可用

def setfrom(self,f):
    """Set from iterable f"""
    fi = iter(f)
    for i in range(self.n):
        if not hasnext(fi):
            fi = iter(f) # restart
        self.a[i] = next(fi)

这对我来说更干净。显然，您可以通过定义实用程序类来解决这些问题，但接下来的情况是，您有20多种几乎等效的解决方法，每种方法都有各自的怪癖，如果您希望重用使用不同解决方法的代码，那么您必须在单个应用程序中有多个几乎等效的代码，或者四处挑选并重写代码以使用相同的方法。“只做一次，就把它做好”的格言很失败。

此外，迭代器本身需要有一个内部的“hasnext”检查，以查看是否需要引发异常。然后，这个内部检查被隐藏起来，因此需要通过尝试获取一个项、捕捉异常并在抛出异常时运行处理程序来测试它。在我看来，这是不必要的隐藏。

如果您确实需要一个has-next功能，那么使用一个小包装器类很容易获得它。例如:

class hn_wrapper(object):
  def __init__(self, it):
    self.it = iter(it)
    self._hasnext = None
  def __iter__(self): return self
  def next(self):
    if self._hasnext:
      result = self._thenext
    else:
      result = next(self.it)
    self._hasnext = None
    return result
  def hasnext(self):
    if self._hasnext is None:
      try: self._thenext = next(self.it)
      except StopIteration: self._hasnext = False
      else: self._hasnext = True
    return self._hasnext

现在就像

x = hn_wrapper('ciao')
while x.hasnext(): print next(x)

发出

c
i
a
o

是必需的。

Note that the use of next(sel.it) as a built-in requires Python 2.6 or better; if you're using an older version of Python, use self.it.next() instead (and similarly for next(x) in the example usage). [[You might reasonably think this note is redundant, since Python 2.6 has been around for over a year now -- but more often than not when I use Python 2.6 features in a response, some commenter or other feels duty-bound to point out that they are 2.6 features, thus I'm trying to forestall such comments for once;-)]]

===

对于Python3，您将进行以下更改:

from collections.abc import Iterator  # since python 3.3 Iterator is here

class hn_wrapper(Iterator):  # need to subclass Iterator rather than object
  def __init__(self, it):
    self.it = iter(it)
    self._hasnext = None
    
  def __iter__(self): 
    return self
  
  def __next__(self):        # __next__ vs next in python 2
    if self._hasnext:
      result = self._thenext
    else:
      result = next(self.it)
    self._hasnext = None
    return result
  
  def hasnext(self):
    if self._hasnext is None:
      try: 
        self._thenext = next(self.it)
      except StopIteration: 
        self._hasnext = False
      else: self._hasnext = True
    return self._hasnext