kandi X-RAY | Python3 Summary
kandi X-RAY | Python3 Summary
file linepy 2.0.2 & akad 0.10.21.
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Top functions reviewed by kandi - BETA
- Login to the server .
- Reads a JSON string .
- Skip the given ttype .
- Legacy certificate validation callback .
- Upload a file to the server .
- try to find optional dependencies
- Sends a message with the given text .
- Start the connection .
- Wrap the given socket .
- read length from the socket
Python3 Key Features
Python3 Examples and Code Snippets
Community Discussions
Trending Discussions on Python3
QUESTION
I tried to mount my drive in Google Colab, but, I can't do it because of credential error.
I want to mount another drive different from the one I am using in Google Colab.
The following is my commands.
...ANSWER
Answered 2021-Nov-14 at 02:57I solved this problem with this link. The following is the correct code:
QUESTION
Since yesterday I have had the problem that I can no longer mount my Google account. Normally, when I run it, I get a link to authorize myself with. Now, when the code is executed, an extra browser window is opened where I should authorize myself. But if I do it over it, it doesn't work. Do you know why it can be that this authorization link is suddenly no longer shown? Any security setting maybe? I've tried several browsers.
EDIT: With the new authorization popup it works if i mount the google drive from the same google account like colab. But the problem is that my main google drive is on another account than Google Colab. With the link it used to work without any problems earlier...
EDIT 2: I have now solved it in such a way that I have shared the required folder for my other account and can now access it via my Colab Google Drive account. But I still didn't manage to get the link back.
After the code execution and authorization with the new popup i get this error message on Google Colab:
MessageError Traceback (most recent call last) in () 1 #Connect Google Drive 2 from google.colab import drive ----> 3 drive.mount('/gdrive')
3 frames /usr/local/lib/python3.7/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec) 104 reply.get('colab_msg_id') == message_id): 105 if 'error' in reply: --> 106 raise MessageError(reply['error']) 107 return reply.get('data', None) 108
MessageError: Error: credential propagation was unsuccessful
I use this code:
...ANSWER
Answered 2021-Nov-07 at 20:45This is a problem with Google Colab Pro. I have a Pro account as well as a normal account. My normal account works as intended (with the link) whereas my Pro account has the pop-up window that gives me the same error as OP.
QUESTION
I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up
command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous
. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: https://serverfault.com/questions/1094062/from-itsdangerous-import-json-as-json-importerror-cannot-import-name-json-fr and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again https://github.com/aws/aws-sam-cli/issues/3661, I have also tried to make a virtual environment named veganetworkscriptenv
to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in vegamain.py.
Here is the full ImportError that I get when I try and run the program:
...ANSWER
Answered 2022-Feb-20 at 12:31I was facing the same issue while running docker containers with flask.
I downgraded Flask
to 1.1.4
and markupsafe
to 2.0.1
which solved my issue.
Check this for reference.
QUESTION
if running our lint checks with the python black
pkg. an error comes up
ImportError: cannot import name '_unicodefun' from 'click' (/Users/robot/.cache/pre-commit/repo3u71ccm2/py_env-python3.9/lib/python3.9/site-packages/click/__init__.py)
related issues:
https://github.com/psf/black/issues/2976
https://github.com/dask/distributed/issues/6013
ANSWER
Answered 2022-Mar-30 at 08:58This has been fixed by Black 22.3.0. Versions before that won't work with click 8.1.0.
https://github.com/psf/black/issues/2964
E.g.: black.yml
QUESTION
While I am testing my API I recently started to get the error below.
...ANSWER
Answered 2022-Mar-29 at 13:29As of version 2.1.0, werkzeug
has removed the as_tuple
argument to Client
. Since Flask wraps werkzeug and you're using a version that still passes this argument, it will fail. See the exact change on the GitHub PR here.
You can take one of two paths to solve this:
Upgrade flask
Pin your werkzeug version
QUESTION
I am trying to run a CentOS 8 server through VirtualBox (6.1.30) (Vagrant), which worked just fine yesterday for me, but today I tried running a sudo yum update
. I keep getting this error for some reason:
ANSWER
Answered 2022-Mar-26 at 20:59Check out this article: CentOS Linux EOL
The below commands helped me:
QUESTION
I am trying to connect to Postgress and create a folder test.db via Flask. When I run "python3" in the terminal and from there when I run "from app import db" I get an import error:
...ANSWER
Answered 2021-Oct-11 at 10:45Use older version of python (eg 3.8)
QUESTION
The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to work properly while testing them. However when I try to install scipy or scikit-learn via pip this error appears:
ERROR: Failed building wheel for numpy
Failed to build numpy
ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
Why should Numpy be build again when I have the latest version from pip already installed?
Every previous installation was done using python3.9 -m pip install ...
on Mac OS 11.3.1 with the apple m1 chip.
Maybe somebody knows how to deal with this error or if its just a matter of time.
...ANSWER
Answered 2021-Aug-02 at 14:33Please see this note of scikit-learn
about
Installing on Apple Silicon M1 hardware
The recently introduced
macos/arm64
platform (sometimes also known asmacos/aarch64
) requires the open source community to upgrade the build configuation and automation to properly support it.At the time of writing (January 2021), the only way to get a working installation of scikit-learn on this hardware is to install scikit-learn and its dependencies from the conda-forge distribution, for instance using the miniforge installers:
https://github.com/conda-forge/miniforge
The following issue tracks progress on making it possible to install scikit-learn from PyPI with pip:
QUESTION
I got below error message when I run model_main_tf2.py
on Object Detection API:
ANSWER
Answered 2021-Dec-31 at 03:38The same thing occurred to me yesterday when I used Colab. A possible reason may be that the version of opencv-python(4.1.2.30) does not match opencv-python-headless(4.5.5.62). Or the latest version 4.5.5 may have something wrong...
I uninstalled opencv-python-headless==4.5.5.62 and installed 4.1.2.30 and it fixed.
QUESTION
I use EndevourOS and have updated my system on February 17 2022 using
sudo pacman -Syu
Eversince, when I run docker-compose, I get this error message:
[4221] Error loading Python lib '/tmp/_MEIgGJQGW/libpython3.7m.so.1.0': dlopen: libcrypt.so.1: cannot open shared object file: No such file or directory
Some forum threads suggested to reinstall docker-compose, which I did. I tried following solution. But both without success: Python3.7: error while loading shared libraries: libpython3.7m.so.1.0
How can I resolve this issue?
...ANSWER
Answered 2022-Feb-19 at 22:27I found several forum posts explaining to isntall libxcrypt-compat from AUR. I did not like this solution, but apparently, this is the way for now: https://bbs.archlinux.org/viewtopic.php?id=274160&p=2
If there is a PGP key error when building the package from AUR, use this workaround as explained by Stock44 on this page: https://aur.archlinux.org/packages/libxcrypt-compat
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