The anext() function is a built-in function in Python that is used to iterate over an asynchronous iterator. It takes an asynchronous iterator object as its argument and returns the next value in the iteration.
Here's an example of using anext() with an asynchronous generator function:
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import asyncio
async def my_async_gen():
yield 1
yield 2
yield 3
async def main():
async for i in my_async_gen():
print(i)
async def get_next_value():
async_gen = my_async_gen()
print(await anext(async_gen)) # 1
print(await anext(async_gen)) # 2
print(await anext(async_gen)) # 3
try:
print(await anext(async_gen))
except StopAsyncIteration:
print("No more values")
asyncio.run(main())
asyncio.run(get_next_value())
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In this example, we define an asynchronous generator function my_async_gen() that yields three integers. We then define a coroutine function get_next_value() that creates an asynchronous iterator object from the generator using my_async_gen() and calls anext() to get the next value in the iteration. We use a try-except block to catch the StopAsyncIteration exception that is raised when there are no more values to iterate over.
When we run the get_next_value() coroutine function, we see that anext() is able to retrieve each value from the asynchronous iterator object.
anext() is a useful tool for working with asynchronous iterators because it allows you to retrieve the next value in the iteration without blocking the event loop. Instead of waiting for the next value to be computed, anext() returns a coroutine that can be awaited later. This allows other tasks to run while the next value is being computed.
In conclusion, the anext() function is a useful tool for iterating over asynchronous iterators in Python. It allows you to retrieve the next value in the iteration without blocking the event loop. When working with asynchronous iterators, anext() is a valuable tool to have in your toolkit.