trio | Trio – a friendly Python library | Reactive Programming library
kandi X-RAY | trio Summary
kandi X-RAY | trio Summary
Trio – a friendly Python library for async concurrency and I/O
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Top functions reviewed by kandi - BETA
- Start a guest run
- Check if a frame is enabled
- Name of an agen
- Setup the runner
- Called when an event is received
- Registers an IOCP device with the given completion key
- Wake all waiting tasks
- Refresh the acant group
- Reopen both read and stream
- Start a new async_fn
- Serve listeners for events
- Start an async function
- Add an instrument
- A wrapper around the main thread
- Wait for the given options
- Starts an async function
- Start an AFD poll
- Temporarily detach a coroutine
- Read data from fd
- Wait for a child process exit
- Create a file from a file
- Creates a DTLSChannel
- Reattach a coroutine
- Decorate a coroutine function
- Temporarily detach a coroutine object
- Start an async_fn
- Implementation of dtls receive loop
- Serve incoming requests
trio Key Features
trio Examples and Code Snippets
Lines of Code : 27License : Permissive (Apache-2.0)
Copyfrom rethinkdb import r
import trio
async def main():
r.set_loop_type('trio')
async with trio.open_nursery() as nursery:
async with r.open(db='test', nursery=nursery) as conn:
await r.table_create('marvel').run(conn)
Usage:
dv-trio.sh -i -r -d [ -o ] [ -t ] [ -b ]
Post-processes trio calls made by DeepVariant to correct for Mendelian errors.
Required arguments:
-i path to input file contain trio details.
See inp 
License : No LicenseCopy --ref or -r reference SV type (A|N) [default: A]
--sv_type or -st SV type (ALL|DEL|DUP|INS|INV|TRA) if specifying multi type, e.g., DEL,INS [default: ALL]
--parent1 or -p1 SV vcf file of parent1 (optional)
--parent2 or -p2 # tasks-with-trace.py
import trio
async def child1():
print(" child1: started! sleeping now...")
await trio.sleep(1)
print(" child1: exiting!")
async def child2():
print(" child2 started! sleeping now...")
await trio.sleep # echo-client.py
import sys
import trio
# arbitrary, but:
# - must be in between 1024 and 65535
# - can't be in use by some other program on your computer
# - must match what we set in our echo server
PORT = 12345
async def sender(client_stream): # tasks-intro.py
import trio
async def child1():
print(" child1: started! sleeping now...")
await trio.sleep(1)
print(" child1: exiting!")
async def child2():
print(" child2: started! sleeping now...")
await trio.sleep(1)
"""
Demo codes for https://stackoverflow.com/questions/71417266
"""
import asyncio
from typing import Dict
import aiohttp
async def process_response_queue(queue: asyncio.Queue):
"""
Get json response data from queue.
Effec# python310/Lib/asyncio/threads.py
# ...
async def to_thread(func, /, *args, **kwargs):
"""Asynchronously run function *func* in a separate thread.
Any *args and **kwargs supplied for this function are directly passed
to *funimport trio
import trio_asyncio
def main():
trio.from_thread.run(amain)
async def amain():
async with trio_asyncio.open_loop():
print(f"Loop in amain: {trio_asyncio.current_loop.get()}") # this print another loop
async def l
Websocket test
Start connection
Close connection
Status: Waiting for connection
"""
Nursery cancellation demo
"""
import itertools
import trio
import fastapi
import hypercorCommunity Discussions
Trending Discussions on trio
QUESTION
Coming from C/C++ background, I am aware of coding standards that apply for Safety Critical applications (like the classic trio Medical-Automotive-Aerospace) in the context of embedded systems , such as MISRA, SEI CERT, Barr etc.
Skipping the question if it should or if it is applicable as a language, I want to create Python applications for embedded systems that -even vaguely- follow some safety standard, but couldn't find any by searching, except from generic Python coding standards (like PEP8)
Is there a Python coding guideline that specificallly apply to safety-critical systems ?
...ANSWER
Answered 2022-Feb-02 at 08:46Top layer safety standards for "functional safety" like IEC 61508 (industrial), ISO 26262 (automotive) or DO-178 (aerospace) etc come with a software part (for example IEC 61508-3), where they list a number of suitable programming languages. These are exclusively old languages proven in use for a long time, where all flaws and poorly-defined behavior is regarded as well-known and execution can be regarded as predictable.
In practice, for the highest safety levels it means that you are pretty much restricted to C with safe subset (MISRA C) or Ada with safe subset (SPARK). A bunch of other old languages like Modula-2, Pascal and Fortran are also mentioned, but the tool support for these in the context of modern safety MCUs is non-existent. As is support for Python for such MCUs.
Languages like Python and C++ are not even mentioned for the lowest safety levels, so between the lines they are dismissed as entirely unsuitable. Even less so than pure assembler, which is actually mentioned as something that may used for the lower safety levels.
QUESTION
i have this vba- excel problem im stuck on for days , i can really use some help.
i have a numbers table within a dynamic range (different for every time a button is beeing prresed.) the table is spread along the entire range.. and i need within that tables to find three numbers who are :
- even
- the avg of those 3 nums is one of them (of the nums)
after finding that trio , i need to color them in the table and print a msgbox who states the areas boundris ( 4X3 for example..) and the fact that this trio exists and also the num who is the avg.
im only having a problem with finding that trio and somehow store it. any kind of help will be great.
this is what i have so far :
...ANSWER
Answered 2022-Mar-11 at 14:04I think best approach would be to get rid first of odd values and then ignoring duplicated data and then try trios of remaining numbers. Anyways, please, notice that depending on how many different values you got, performance can be affected.
Also, notice that because your data got duplicates, sometimes you could get highlited more than 3 cells.
Be sure your activecell is inside the range to check for this code to work!
Before code:
After code:
QUESTION
I have legacy python application which is synchronous. I started to use async code inside this application in this way (simplified):
...ANSWER
Answered 2022-Feb-23 at 06:56Finally I found the solution and ... it seems to be easy :-)
The trio_asyncio loop needs to be opened manually when we call the async function from thread. So the only difference is to add open_loop() call in amain() function:
QUESTION
I have a Django site that uses the trio_cdp package to generate PDFs using a headless Google Chrome. This package is async, but my Django project is sync, so it has to run inside trio.run()
It's also using uwsgi locks so that only one client can generate a PDF at a time (headless Chrome loads the page in a single virtual tab, so it can only do one at a time)
Here is the code:
...ANSWER
Answered 2022-Feb-05 at 13:11I was able to solve this myself. uWSGI's handler for SIGINT is overridden by trio.run(), but only if trio.run() is in the main thread. I solved this by running it in another thread.
QUESTION
I'm still quite new to websockets and I've been given a problem I'm having a hard time solving.
I need to build a websocket endpoint with FastAPI in which a group of tasks are run asynchronously (to do so I went with trio) with each task returning a json value through the websocket in realtime.
I've managed to meet these requirements, with my code looking like this:
...ANSWER
Answered 2022-Jan-31 at 12:37- Create dictionary in global namespace for storing cancel scope and event (key:
UUID, val:Tuple[trio.CancelScope, trio.Event] - Assign every client with unique UUID (Anything that is unique to client)
- Let client send UUID at start of connection
- Check if dictionary has that UUID as key. If exist, cancel the scope and wait for event to be set.
- Now do the actual transmission
Websocket doesn't know if client disconnected or not if client doesn't close websocket explicitly. Therefore best bet I can think of is enforcing Timeout and waiting for client's response on every transmission. (Which makes this method a bit less efficient).
Below is demonstrational code of above ideas.
Client code:Since I don't know how client code looks like, I just made some client for testing your concerns.
This is a bit buggy, but I didn't learned js - Please don't judge client code too seriously!
QUESTION
$tab1 = [“echelle”, “trio”, “pamplemousse”, “legumes”];
$tab2 = [“lama”, “geranium”, “pendule”, “elephant”];
ANSWER
Answered 2021-Oct-26 at 15:04using a foreach loop and strpos() will allow you traverse an array simply and remove unset() the specific values in the original array.
strpos() will return FALSE if the searched for character does not exist, this make it a simple test for if its false then keep the array item otherwise remove it or visa versa to keep the items with a 'u' in
QUESTION
I am currently working on a Python script to pull information on RTX 3080 graphics cards and I am running into issues getting my script to grab each Graphics card title for each posting on the page. My script is as follows
...ANSWER
Answered 2022-Jan-23 at 05:37I made a change to part of your code:
QUESTION
I'm trying to build a Server-Sent Events endpoint with FastAPI but I'm unsure if what I'm trying to accomplish is possible or how I would go about doing it.
Introduction to the problemBasically let's say I have a run_task(limit, task) async function that sends an async request, makes a transaction, or something similar. Let's say that for each task run_task can return some JSON data.
I'd like to run multiple tasks (multiple run_task(limit, task)) asynchronously, to do so I'm using trio and nurseries like so:
ANSWER
Answered 2022-Jan-16 at 23:27I decided to ultimately go with websockets rather than SSE, as I realised I needed to pass an object as data to my endpoint, and while SEE can accept query params, dealing with objects as query parameters was too much of a hassle.
websockets with FastAPI are based on starlette, and are pretty easy to use, implementing them to the problem above can be done like so:
QUESTION
I have this dataframe in python df
ANSWER
Answered 2022-Jan-11 at 23:57something like this :
QUESTION
I am looking for a way to efficiently fetch a chunk of values from disk, and then perform computation/calculations on the chunk. My thought was a for loop that would run the disk fetching task first, then run the computation on the fetched data. I want to have my program fetch the next batch as it is running the computation so I don't have to wait for another data fetch every time a computation completes. I expect the computation will take longer than the fetching of the data from disk, and likely cannot be done truly in parallel due to a single computation task already pinning the cpu usage at near 100%.
I have provided some code below in python using trio (but could alternatively be used with asyncio to the same effect) to illustrate my best attempt at performing this operation with async programming:
...ANSWER
Answered 2021-Nov-10 at 07:42I don't work with trio, my answer it asyncio based.
Under these circumstances the only way to improve the asyncio performance I see is to break the computation into smaller pieces and insert await sleep(0) between them. This would allow the data fetching task to run.
Asyncio uses cooperative scheduling. A synchronous CPU bound routine does not cooperate, it blocks everything else while it is running.
sleep()always suspends the current task, allowing other tasks to run.Setting the delay to 0 provides an optimized path to allow other tasks to run. This can be used by long-running functions to avoid blocking the event loop for the full duration of the function call.
(quoted from: asyncio.sleep)
If that is not possible, try to run the computation in an executor. This adds some multi-threading capabilities to otherwise pure asyncio code.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
Install trio
You can use trio 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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