下面是一个包装生成器的简单装饰器，因此如果为空，它将返回None。如果您的代码需要知道生成器在循环遍历之前是否会生成任何东西，那么这可能很有用。

def generator_or_none(func):
    """Wrap a generator function, returning None if it's empty. """

    def inner(*args, **kwargs):
        # peek at the first item; return None if it doesn't exist
        try:
            next(func(*args, **kwargs))
        except StopIteration:
            return None

        # return original generator otherwise first item will be missing
        return func(*args, **kwargs)

    return inner

用法:

import random

@generator_or_none
def random_length_generator():
    for i in range(random.randint(0, 10)):
        yield i

gen = random_length_generator()
if gen is None:
    print('Generator is empty')

一个有用的例子是在模板代码中—即jinj2

{% if content_generator %}
  <section>
    <h4>Section title</h4>
    {% for item in content_generator %}
      {{ item }}
    {% endfor %
  </section>
{% endif %}

使用cytoolz中的peek函数。

from cytoolz import peek
from typing import Tuple, Iterable

def is_empty_iterator(g: Iterable) -> Tuple[Iterable, bool]:
    try:
        _, g = peek(g)
        return g, False
    except StopIteration:
        return g, True

此函数返回的迭代器将等效于作为参数传入的原始迭代器。

恕我直言，最好的办法是避免特殊测试。大多数时候，使用生成器是一种测试:

thing_generated = False

# Nothing is lost here. if nothing is generated, 
# the for block is not executed. Often, that's the only check
# you need to do. This can be done in the course of doing
# the work you wanted to do anyway on the generated output.
for thing in my_generator():
    thing_generated = True
    do_work(thing)

如果这还不够好，您仍然可以执行显式测试。此时，thing将包含最后生成的值。如果没有生成任何内容，它将是未定义的—除非您已经定义了该变量。你可以检查东西的价值，但那有点不可靠。相反，只需在块内设置一个标志，然后检查它:

if not thing_generated:
    print "Avast, ye scurvy dog!"

在遍历生成器之前检查生成器符合LBYL编码风格。另一种方法(EAFP)是遍历它，然后检查它是否为空。

is_empty = True

for item in generator:
    is_empty = False
    do_something(item)

if is_empty:
    print('Generator is empty')

这种方法也可以很好地处理无限生成器。

刚刚读到这篇文章，意识到缺少一个非常简单易懂的答案:

def is_empty(generator):
    for item in generator:
        return False
    return True

如果我们不打算使用任何项，那么我们需要将第一项重新注入生成器:

def is_empty_no_side_effects(generator):
    try:
        item = next(generator)
        def my_generator():
            yield item
            yield from generator
        return my_generator(), False
    except StopIteration:
        return (_ for _ in []), True

例子:

>>> g=(i for i in [])
>>> g,empty=is_empty_no_side_effects(g)
>>> empty
True
>>> g=(i for i in range(10))
>>> g,empty=is_empty_no_side_effects(g)
>>> empty
False
>>> list(g)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

下面是一个包装生成器的简单装饰器，因此如果为空，它将返回None。如果您的代码需要知道生成器在循环遍历之前是否会生成任何东西，那么这可能很有用。

def generator_or_none(func):
    """Wrap a generator function, returning None if it's empty. """

    def inner(*args, **kwargs):
        # peek at the first item; return None if it doesn't exist
        try:
            next(func(*args, **kwargs))
        except StopIteration:
            return None

        # return original generator otherwise first item will be missing
        return func(*args, **kwargs)

    return inner

用法:

import random

@generator_or_none
def random_length_generator():
    for i in range(random.randint(0, 10)):
        yield i

gen = random_length_generator()
if gen is None:
    print('Generator is empty')

一个有用的例子是在模板代码中—即jinj2

{% if content_generator %}
  <section>
    <h4>Section title</h4>
    {% for item in content_generator %}
      {{ item }}
    {% endfor %
  </section>
{% endif %}