nest_asyncio | Patch asyncio to allow nested event loops | Reactive Programming library
kandi X-RAY | nest_asyncio Summary
kandi X-RAY | nest_asyncio Summary
Patch asyncio to allow nested event loops
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nest_asyncio Key Features
nest_asyncio Examples and Code Snippets
Lines of Code : 8License : Strong Copyleft (CC BY-SA 4.0)
Copydef Exec_ShowImgGrid(ObjTensor, ch=1, size=(28,28), num=16):
#tensor: 128(pictures at the time ) * 784 (28*28)
Objdata= ObjTensor.detach().cpu().view(-1,ch,*size) #128 *1 *28*28
Objgrid= make_grid(Objdata[:num],nrow=4).permuteconda create --name foo -c conda-forge axelrod
FROM python:3.9.9-slim-buster
WORKDIR /
COPY wheels ./wheels
## INSTALL WITH APK
RUN apt-get update && apt-get install -y \
g++ \
gcc \
python3-dev \
libjpeg-dev \
zlib1g-dev \
make \
wget \
libapip uninstall nest-asyncio
pip install nest-asyncio==1.5.3
pip uninstall nest-asyncio
pip install nest-asyncio==1.5.3
pywin32==223; sys_platform == "win32"
import asyncio
import pytest
async def watch(stream):
while True:
lines = await stream.read(2 ** 16)
if not lines or lines == "":
break
lines = lines.decode().strip().split("\n") #note the use of if self.l2_norm:
masked_embedding = F.normalize(masked_embedding, p=2.0, dim=1, eps=1e-10)
if self.l2_norm:
norm = masked_embedding.norm(p=2, dim=1, keepdim=True) + 1e-10
masked_embedding /= norm
np.random.choice(list(candidate_sets))
[...]
candidate_sets = self.category2ims[item_type].keys()
attempts = 0
while item_out == item_id and attempts < 100:
choice = np.random.choice(candidate_sets)
[...]
Community Discussions
Trending Discussions on nest_asyncio
QUESTION
I am trying to build an app from a python file (Mac OS) using the py2app extension. I have a folder with the python file and the "setup.py" file.
- I first tested the app by running
python setup.py py2app -Ain the terminal and the dist and build folder are successfully created and the app works when launched. - Now when I try to build it non-locally by running the command
python setup.py py2appin the terminal, there are various "WARNING: ImportERROR" messages while building and finally aerror: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib'error.
How can I fix this? I've tried to delete anaconda fully as I don't use it but it seems to still want to run through it. Additionally, I have tried to run the build command using a virtual environment but I end up having even more import errors.
*I Left out a lot of the "skipping" and "warning" lines using "..." for space
ANSWER
Answered 2022-Mar-13 at 16:13The error error: [Errno 2] No such file or directory: '/opt/anaconda3/lib/python3.8/site-packages/rtree/lib' was caused by py2app trying to build the program bundle using a non-existent interpreter. This means that even if you try to uninstall a manager like Anaconda, it still has option logs somewhere on your mac.
The fix:
- Open the terminal and type the command
type -a python.
- You will see similar lines
QUESTION
So, I've been trying to make a suggestion discord bot, so it sends a message to a specific channel when prompted and verified with a button, but I can't seem to make it work. My code is here:
...ANSWER
Answered 2022-Mar-10 at 11:53Pass client and then define it with self.client, like this:
QUESTION
I want to download/scrape 50 million log records from a site. Instead of downloading 50 million in one go, I was trying to download it in parts like 10 million at a time using the following code but it's only handling 20,000 at a time (more than that throws an error) so it becomes time-consuming to download that much data. Currently, it takes 3-4 mins to download 20,000 records with the speed of 100%|██████████| 20000/20000 [03:48<00:00, 87.41it/s] so how to speed it up?
ANSWER
Answered 2022-Feb-27 at 14:37If it's not the bandwidth that limits you (but I cannot check this), there is a solution less complicated than the celery and rabbitmq but it is not as scalable as the celery and rabbitmq, it will be limited by your number of CPU.
Instead of splitting calls on celery workers, you split them on multiple processes.
I modified the fetch function like this:
QUESTION
Objective:
I am trying to scrape multiple URLs simultaneously. I don't want to make too many requests at the same time so I am using this solution to limit it.
Problem:
Requests are being made for ALL tasks instead of for a limited number at a time.
Stripped-down Code:
...ANSWER
Answered 2021-Dec-23 at 05:25What is wrong is this line:
QUESTION
I'm making a python class with an __init__ function and a another function, let's say f. The __init__ function is not async, but the other function is. Now, I'm trying to execute the other function from the __init__.
Things I've looked into:
- I've found some code with get_event_loop/get_running_loop and run_until_complete, but this gives a RuntimeError that the event loop is already running.
- I've seen comments about nest_asyncio, but it seems a bit dirty.
- Further, I've tried several things using create_task, gather, and wait. But in this case, the code is not waiting until the task has been completely executed.
- I could split it up by first calling the constructor and then calling the second function with an await, but I'd like the second function to be called during the constructor.
Note that this is within an Azure Function App context.
Some sample code:
...ANSWER
Answered 2021-Dec-08 at 20:02code inside __init__ cannot use await so you need to do 1 of 2 things.
either start some async tasks in __init__ and provide a second method to wait on them:
QUESTION
I have just installed jupyter notebook on my Chromebox (Chrome OS) with pip, and I get the following output error:
...ANSWER
Answered 2021-Dec-03 at 00:41This might be a problem with nest-asyncio=1.5.2 (issue). You can run the following commands to uninstall the existing version of nest-asyncio=1.5.2 and upgrade to 1.5.3:
QUESTION
I am using Python 3.9.9 via pyenv on a Mac with an Intel chip. I installed Jupyter using pip install juypter. When I run which jupyter I get the response /Users//.pyenv/shims/jupyter, so Jupyter has installed. However, when I run jupyter notebook I get the following error:
ANSWER
Answered 2021-Dec-01 at 16:52faced similar issues and solved using:
QUESTION
So I have gone through the forums in search for an answer but haven't found one that works for me. I am using Windows machine and my Django application works on Localhost but when I try to deploy the same application to Heroku it gives me this error.
...ANSWER
Answered 2021-Nov-14 at 11:37In your current requirements.txt you marked pywin32 with environment marker platform_system == "Windows". I think the syntax is wrong. The correct syntax from PEP 496 is:
QUESTION
I have an issue whereby the Since command in twint does not appear to be working. I can only scrape Tweets from the past 10 days.
I tried to modify the source files for twint as per the suggestion here but no luck: https://issueexplorer.com/issue/twintproject/twint/1253
Does anybody have any suggestions of a fix? Or alternate packages?
...ANSWER
Answered 2021-Oct-19 at 16:04I recommend using snscrape for scraping any amount of tweets from an account or by keyword.
You can find more info in this medium article on how to do it by keyword. Here is my code for scraping all tweets from a given account:
QUESTION
asyncio: Can I wrap a sync REST call in async? FTX fetch_position is a REST API call, it's not async and not awaitable. I tried below hoping if each call is 300ms, total not 300ms x3 = 900ms, but rather (wishful thinking) 300ms for all three using asyncio magic (Coorperative multi-tasking). But it didn't work. Overall took about 900ms. Am i doing something wrong here? Thanks!
...ANSWER
Answered 2021-Sep-13 at 23:03Directly, no, you'll block the event loop and won't get concurrency. However, you can use multithreading with asyncio, wrapping sync calls in a thread with asyncio's to_thread coroutine. This delegates a blocking function to run in a separate thread backed by a ThreadPoolExecutor and returns an awaitable, so you can use it in await expressions just like it was non-blocking. Here is an example with the requests library to make 20 web requests, comparing synchronous with threads:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install nest_asyncio
You can use nest_asyncio like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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