async def infinite_sequence(): num = 0 while True: yield num num += 1 await asyncio.sleep(0) async def main(): async for num in infinite_sequence(): print(num) asyncio.run(main()) 在这个例子中,infinite_sequence是一个协程生成器函数,它在每次生成数值后等待一小段时间。协程在需要执行异步...
def infinite_sequence(): num = 0 while True: yield num num += 1 1. 2. 3. 4. 5. 这个代码块简短而有趣。 首先,您初始化变量num并开始无限循环。 然后,您立即yield num,以便可以捕获初始状态。 这模仿了range()的作用。 在yield之后,将num加1。如果在for循环中尝试此操作,则会发现它确实确实是无...
classNumberSequenceIterator:def__init__(self,start,end):self.current=startself.end=enddef__iter__(self):returnselfdef__next__(self):ifself.current>self.end:raiseStopIterationresult=self.currentself.current+=1returnresult# 使用自定义迭代器seq_iter=NumberSequenceIterator(1,5)fornuminseq_iter:pri...
def infinite_sequence(): num = 0 while True: yield num num += 1 def square_numbers(sequence): for num in sequence: yield num ** 2 def filter_evens(sequence): for num in sequence: if num % 2 == 0: yield num # Compose the generators numbers = infinite_sequence() squared = square...
#Sieve of Eratosthenes#Code by David Eppstein, UC Irvine, 28 Feb 2002#http://code.activestate.com/recipes/117119/defgen_primes():"""Generate an infinite sequence of prime numbers."""#Maps composites to primes witnessing their compositeness.#This is memory efficient, as the sieve is not "ru...
There’s an easy way to generate this sequence with the itertools.cycle() function. This function takes an iterable inputs as an argument and returns an infinite iterator over the values in inputs that returns to the beginning once the end of inputs is reached. So, to produce the ...
A sequence is an ordered collection of objects (usually numbers), which are allowed to repeat. Sequences can be finite or infinite. Two examples are the finite sequence and the infinite sequence of odd numbers . We use the notation to represent the -th term of a sequence. ...
3. Represent Infinite Stream Generators are excellent mediums to represent an infinite stream of data. Infinite streams cannot be stored in memory, and since generators produce only one item at a time, they can represent an infinite stream of data. The following generator function can generate al...
Generating an infinite sequence, however, will require the use of a generator, since your computer memory is finite:Python def infinite_sequence(): num = 0 while True: yield num num += 1 This code block is short and sweet. First, you initialize the variable num and start an infinite ...
Iterators can work with infinite sequences Iterators save resources Python has several built-in objects, which implement the iterator protocol. For example lists, tuples, strings, dictionaries or files. (此处表述有些问题,严格地说上述python内建对象并不是迭代器,而是可迭代对象。因为它们本身并未实现nex...