python-asyncio

问题 I have a task make communication between coroutines with help asyncio and python3. Please tell me how to do it,if one coroutine,in while tru cycle , return value at different intervals, and the other coroutines receives this data import asyncio @asyncio.coroutine def write(future): i=0 while True: yield from asyncio.sleep(1) future.set_result('data: '.format(i)) i+=1 def got_result(future): print(future.result()) loop = asyncio.get_event_loop() future = asyncio.Future() asyncio.ensure_future

问题 I have a task make communication between coroutines with help asyncio and python3. Please tell me how to do it,if one coroutine,in while tru cycle , return value at different intervals, and the other coroutines receives this data import asyncio @asyncio.coroutine def write(future): i=0 while True: yield from asyncio.sleep(1) future.set_result('data: '.format(i)) i+=1 def got_result(future): print(future.result()) loop = asyncio.get_event_loop() future = asyncio.Future() asyncio.ensure_future

问题 Based on the solution that i got: Running multiple sockets using asyncio in python i tried to add also the computation part using asyncio Setup: Python 3.7.4 import msgpack import threading import os import asyncio import concurrent.futures import functools import nest_asyncio nest_asyncio.apply() class ThreadSafeElem(bytes): def __init__(self, * p_arg, ** n_arg): self._lock = threading.Lock() def __enter__(self): self._lock.acquire() return self def __exit__(self, type, value, traceback):

问题 I am trying to create a sort of survey using Jupyter widgets. As a bare-bone example, I would like to ask the user if he likes a kind of fruit in a list, let him check yes/no in a RadioButtons widget, let him submit his answer, and then ask him if he likes the next fruit. I would expect something like this: Do you like apples? * yes * no Submit After pressing Submit , the apples string would be substituted by the next fruit in the list: Do you like oranges? * yes * no Submit What I am getting

问题 I'm coding a music bot for my server, and I need to disconnect (a coroutine) when the queue is exhausted. So I use a try: except block to handle that, however, when using VoiceClient.play , is it possible to put an asynchronous function as the after parameter? Just using after=function does not work and would raise function was not awaited, but using after=await function shows TypeError: object function can't be used in 'await' expression Is there any way to call an async function from play?

问题 I need to wait until a certain condition/equation becomes True in a asynchronous function in python. Basically it is a flag variable which would be flagged by a coroutine running in asyncio.create_task(). I want to await until it is flagged in the main loop of asyncio. Here's my current code: import asyncio flag = False async def bg_tsk(): await asyncio.sleep(10) flag = True async def waiter(): asyncio.create_task(bg_tsk()) await asyncio.sleep(0) # I find the below part unpythonic while not

问题 I have this simple async code that spawns sleep 3 and then waits for it to complete: from asyncio import SelectorEventLoop, create_subprocess_exec, \ wait_for, get_event_loop, set_event_loop def run_timeout(loop, awaitable, timeout): timed_awaitable = wait_for(awaitable, timeout=timeout, loop=loop) return loop.run_until_complete(timed_awaitable) async def foo(loop): process = await create_subprocess_exec('sleep', '3', loop=loop) await process.wait() print(process.returncode) Notice how it

问题 TL;DR: asyncio vs multi-processing vs threading vs. some other solution to parallelize for loop that reads files from GCS, then appends this data together into a pandas dataframe, then writes to BigQuery... I'd like to make parallel a python function that reads hundreds of thousands of small .json files from a GCS directory, then converts those .jsons into pandas dataframes, and then writes the pandas dataframes to a BigQuery table. Here is a not-parallel version of the function: import gcsfs

问题 TL;DR: asyncio vs multi-processing vs threading vs. some other solution to parallelize for loop that reads files from GCS, then appends this data together into a pandas dataframe, then writes to BigQuery... I'd like to make parallel a python function that reads hundreds of thousands of small .json files from a GCS directory, then converts those .jsons into pandas dataframes, and then writes the pandas dataframes to a BigQuery table. Here is a not-parallel version of the function: import gcsfs

问题 I want to use both ThreadPoolExecutor from concurrent.futures and async functions. My program repeatedly submits a function with different input values to a thread pool. The final sequence of tasks that are executed in that larger function can be in any order, and I don't care about the return value, just that they execute at some point in the future. So I tried to do this async def startLoop(): while 1: for item in clients: arrayOfFutures.append(await config.threadPool.submit(threadWork, obj