pyzmq | PyZMQ : Python bindings for zeromq | Reactive Programming library
kandi X-RAY | pyzmq Summary
kandi X-RAY | pyzmq Summary
This package contains Python bindings for ØMQ. ØMQ is a lightweight and fast messaging implementation. PyZMQ should work with any reasonable version of Python (≥ 3.4), as well as Python 2.7 and 3.3, as well as PyPy. The Cython backend used by CPython supports libzmq ≥ 2.1.4 (including 3.2.x and 4.x), but the CFFI backend used by PyPy only supports libzmq ≥ 3.2.2 (including 4.x). For a summary of changes to pyzmq, see our changelog.
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Top functions reviewed by kandi - BETA
- Block until all sockets are available
- Add IO state
- Get the current loop
- Add a new recv event
- Get settings from a given prefix
- Add rpath to settings
- Convert a string to a byte array
- Check pkg - config
- Handle incoming request
- Calculate the latency of a given URL
- Load libzmq
- Create a new monitoring socket
- Wait for events
- Receive a monitor message from a socket
- Parse arguments
- Generate new certificates and private keys
- Send data to the client
- Calculate throughput of a given URL
- Specify a proxy to the frontend
- Return a future that returns the result
- Create a paramiko tunnel
- Check if zeromq version is compatible
- Create a new socket
- Run the compiler
- Start asyncio
- Start a paramiko tunnel
pyzmq Key Features
pyzmq Examples and Code Snippets
pip install pyzmq
pip install --no-binary=:all: pyzmq
# Debian-based
sudo apt-get install libzmq3-dev
# RHEL-based
sudo yum install libzmq3-devel
def gray_to_rgb(img):
x=np.dot(img[...,:3], [0.2989, 0.5870, 0.1140])
mychannel=np.repeat(x[:, :, np.newaxis], 3, axis=2)
return mychannel
python is /opt/anaconda3/bin/python
python is /usr/local/bin/python
python is /usr/bin/python
sockets = [len( ipList )]
PortNum = 6666
sockets = []
pollers = []
context = zmq.Context()
for ipAddr in ipList:
strTCP = f'tcp://{ipAddr}:{usePortNum}'
socket = context.socket(zmq.SUB)
socket.subscri
def 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).permute
python3.10 -m pip install ipykernel
sudo apt-get install python3.10-distutils
curl -sS https://bootstrap.pypa.io/get-pip.py | python3.10
/bin/python3.10 ~/.vscod
Community Discussions
Trending Discussions on pyzmq
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 -A
in 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 py2app
in 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
On a single process I have a tasks running on a thread that produces values and broadcasts them and several consumer async tasks that run concurrently in an asyncio loop.
I found this issue on PyZMQ's github asking async <-> sync communication
with inproc sockets which is what I also wanted and the answer was to use .shadow(ctx.underlying)
when
creating the async ZMQ Context.
I prepared this example and seems to be working fine:
...ANSWER
Answered 2022-Mar-01 at 22:12Q :
Is it safe to useinproc://*
between a thread and asyncio task in this way?""
A :
First and foremost, I might be awfully wrong (not only here), yet having worked with ZeroMQ since native API 2.1.1+ I dare claim that unless newer "improvements" got lost the core principles ( ZeroMQ ZMTP/RFC-documented properties for building legal implementation of the still valid ZMTP-arsenal ), the answer here shall be YES, as much as the newer releases of pyzmq-binding kept all mandatory properties of the inproc:
-Transport-Class without a compromise.
Q :
" The 0MQ context is thread safe and I'm not sharing sockets between the thread and theasyncio
task, so I would say in general that this is thread safe, right? "
A :
Here my troubles start - ZeroMQ implementations were since ever developed based on Martin SUSTRIK's & Pieter HINTJENS' Zen-of-Zero -- i.e. also as Zero-sharing -- so never sharing was the principle ( though "share"-zmq.Context
-instances were no problem to be used from different threads, to the contrary of the zmq.Socket
-instances )
Python (since ever & still valid in 2022-Q1) used to use & still uses a total [CONCURRENT]
-code-execution avoider -- prevented by GIL-lock, which principally avoids any & all kinds of problems, arising from [CONCURRENT]
-code-execution to never happen insider Python GIL-lock re-[SERIAL]
-ised flow of code-execution, so even if the asyncio
-part is built as a pythonic (non-destructive) part of the ecosystem, your code shall never "meet" any kind of concurrency-related issue, as the unless it gains GIL-lock, it does nothing but "hanging in NOP
-s cracking" ( nuts-cracking in idle loop ).
Being inside the same process, there seems no advantage to spawn another Context
-instance at all ( this used to be the rock-solid certainty since ever, not to ever increase any kind of overheads - Zen-of-Zero ( almost )Zero-overhead ... ). The Sig/Msg core engine was, if performance or latency needs required, powered with more zmq.Context( IOthreads )
upon instantiations, yet these were zmq.Context
-owned, not Python-GIL-governed/(b)locked threads, so the performance was pretty well scalable, without wasting any RAM/HWM/buffers/...-resources, without growing any overheads and very efficient, as the IO-threads were co-located for only indeed I/O-work, so not needed for inproc:
-( protocol-less )-Transport-Class at all )
Q :
" Or am I missing something that I should consider? "
A :
Mixing asyncio
, O/S-signals ( that are well documented how they interact with native ZeroMQ API ) and other layers of complexity is for sure possible, yet it comes at a cost - it makes the use-case less and less readable and more and more prone to conceptual-gaps and similar hard to decode "errors".
I remember using Tkinter-mainloop()
as a cost-wise very cheap and a super-stable framework for rapid-prototyping an MVC-{ M-odel, V-isual, C-ontroller }-parts of many-actors' indeed distributed-system applications in Python. There were Zerop-problems to use ZeroMQ with a single Context
-instance, passing the references of the respective AccessNodes' into whatever amount of event-handlers, supposing we kept the ZeroMQ Zen-of-Zero, i.e. no to "share" (meaning no two parts "use" (compete to use) one and the same AccessPoint "one-over-another")
This all was designed-in, at "Zero-cost", by the ZeroMQ by-definition, so unless spoilt in some later phase, re-wrapping a re-wrapped native API, all this ought still work in 2022-Q1, ought it not?
QUESTION
Trying to (re)install Jupyter's nbextension via the following steps in terminal
- pip install jupyter_contrib_nbextensions
- jupyter contrib nbextension install --user
- install --user jupyter nbextension enable varInspector/main
Step 1 = runs and i am able to launch notebooks via "jupyter notebook" in terminal just fine.
Step 2 = fails with
...ANSWER
Answered 2022-Mar-01 at 17:47So in case anyone comes across similar for any reason with me encountering this probably due getting a new machine and IT doing their voodoo magic transferring my old stuff to this new machine.
Anyhow, there were a bunch of things I still needed to install after I got my new machine and i am not able to exactly pin point what caused issues from my question but in the end I was able to resolve. Follow me there below ...
Checking out my python.exe files I found 2 paths. First one added as environment variable
- C:\Users-----\AppData\Local\Programs\Python\Python310
- C:\Users----\AppData\Roaming\Python\Python310\
Second one not added. Adding roaming version to path variables did not solve the issue and gave additional errors instead:
Fatal error in launcher: Unable to create process using '"C:\Program Files\Python310\python.exe"
So
I uninstalled python (done that before didnt help doing just that alone)
Deleted all environment variables pointing to python (here is what environment variables are just in case - https://www.computerhope.com/issues/ch000549.htm)
Uninstalled python extension from VS code (https://marketplace.visualstudio.com/items?itemName=ms-python.python)
Deleted Python folders mentioned in the two paths above
Then reinstalled python (clicked add to path during installation)
Reinstalled VS code python extension
Everything works now.
Best of luck
QUESTION
Background
I am trying to plot an image noise using pytorch, however, when I reach to that point, the kernel dies. I am attempting the same code at Google Colab where I do get results
Result at Google Colab
Result at Jupyter
I do not think that it has something to do with the code itself, but I am posting the function to plot the grid:
...ANSWER
Answered 2022-Feb-28 at 22:25After a few days I was able to find the solution
Firstly, my code needed to be fixed to correctly call the params needed with the proper name
QUESTION
I just installed Python 3.10 on my laptop (Ubuntu 20.04).
Running a Jupyter Notebook inside of VS Code works with Python 3.9 but not with Python 3.10. I get the error message: Running cells with 'Python 3.10.0 64 bit' requires ipykernel installed or requires an update
.
Jalil Nourmohammadi Khiarak gave a more complete answere, it is now the new accepted answer.
Update January 2022It was a dumb error, I solved my problem (see accepted answer).
Things I tried:
- Clicking on reinstall, which runs:
ANSWER
Answered 2021-Nov-02 at 20:03I don't think ipykernel is compatible with 3.10.
Below is the message I receive when I try to install ipykernel with the following command: conda install -c anaconda ipykernel
QUESTION
When using a Jupyter notebook file in Visual Studio code with the Jupyter extension I receive the error The kernel failed to start due to the missing module 'ipykernel_launcher'. Consider installing this module. View Jupyter [log](command:jupyter.viewOutput) for further details.
This notebook works correctly from the JupyterLab web application when I select the same conda environment that was selected in Visual Studio Code.
pip list
shows that ipykernel version 5.3.4 is installed, but I don't know how to install ipykernel_launcher. I tried reinstalling pyzmq and it didn't help.
Any ideas why this isn't working?
...ANSWER
Answered 2022-Feb-08 at 02:13Had the same problem. My solution is --
First uninstall all jupyter related modules:
QUESTION
I am trying to deploy my first web app on Heroku however I am getting a PyObjc error while pushing the code. I am doing this on a Mac Machine. This predictive application is developed using Flask. I do not know why this error is occurring as I do not have the PyObjc in my requirements.txt
...ANSWER
Answered 2022-Feb-04 at 21:42applaunchservices
appears to be Apple-only:
Simple package for registering an app with apple Launch Services to handle UTI and URL. See Apple documentations for details.
I suspect you don't need that, either. Did you create your requirements.txt
from a pip freeze
? There's likely a bunch of stuff in there you don't need.
I suggest you review that file and remove anything you aren't directly depending on. pip
will find transitive dependencies (dependencies your dependencies depend on) and install them automatically.
Prune that file, commit, and redeploy.
QUESTION
I install new modules via the following command in my miniconda
...ANSWER
Answered 2022-Jan-06 at 20:11Consider creating a separate environment, e.g.,
QUESTION
I'm using python's pyzmq==22.2.1 which should support ZeroMQ 4.2.0 (according to the API)
I'm trying to make use of the heartbeat socket options (ZMQ_HEARTBEAT_IVL
, ZMQ_HEARTBEAT_TIMEOUT
and ZMQ_HEARTBEAT_TTL
). However, when I set these socket options, I am not receiving the expected TimeoutException or any exception on my socket. It just seems to sit there doing nothing.
What is the expected behaviour after setting these socket options ? On the server side, how does the server detect the client has timeout and missed a heartbeat and vice versa for the client (is there an exception or something that's supposed to be thrown or something ?).
I've setup a simple router-dealer echo example below:
...ANSWER
Answered 2022-Jan-07 at 12:13Q : What is the expected behaviour after setting these socket options ?
A :
well,
there are two-fold effect of the said settings. One, that actually works for your setup goals ( i.e. going & sending (most probably ZMTP/3.1) ZMTP_PING
connection-oriented service-sublayer "ZMTP/3.1-service-packets" and reciprocally, not sure, but most often, adequately formed "ZMTP/{3.1|2.x|1.0}-service-packets" (hopefully delivered) back. These "service-packets" are visible on the wire-line (if present - an inproc://
-transport-class and vmci://
-transport-class too have no actual wire a typical user can hook-on and sniff-traffic in, but some kind of pointer-acrobatics used for RAM-mapping), so a protocol-analyser will "see" them id decodes like this:
QUESTION
I am working with a simple ML model with streamlit. It runs fine on my local machine inside conda environment, but it shows Error installing requirements when I try to deploy it on share.streamlit.io.
The error message is the following:
ANSWER
Answered 2021-Dec-25 at 14:42Streamlit share runs the app in a linux environment meaning there is no pywin32 because this is for windows.
Delete the pywin32 from the requirements file and also the pywinpty==1.1.6 for the same reason.
After deleting these requirements re-deploy your app and it will work.
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