构成异步迭代器的map、filter和itertools

python是否支持异步迭代器上的函数式操作?我知道我可以用 map , filter 和 itertools 要懒洋洋地转换和使用来自正常生成器的数据,请执行以下操作:

from itertools import accumulate, takewhile

def generator():
    a, b = 1, 1
    while True:
        yield a
        a, b = b, a + b

# create another iterator, no computation is started yet:
another_iterator = takewhile(lambda x: x < 100, accumulate(generator()))
# start consuming data:
print(list(another_iterator))
# [1, 2, 4, 7, 12, 20, 33, 54, 88]

现在,Python3.6的异步生成器/迭代器不支持相同的功能,因为它们当然不实现普通的迭代器协议:

async def agenerator():
    a, b = 1, 1
    while True:
        yield a
        a, b = b, a + b

accumulate(agenerator())

typeerror:“异步生成器”对象不可iterable

在python 3.6/3.7中,是否有某种异步映射或异步itertools来实现类似的惰性行为?