py | Stencila for Python | Build Tool library
kandi X-RAY | py Summary
kandi X-RAY | py Summary
Stencila for Python
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Spawn the process
- Start the HTTP server
- Generate a manifest for the client
- Stop this host
- Gets an instance by name
- List of environs
- Creates a temporary directory
- Start the daemon
- View the server
- Returns a list of all the variables
- Return the type of a value
py Key Features
py Examples and Code Snippets
Lines of Code : 4License : Non-SPDX (Apache License 2.0)
Copydef update_setup_dot_py(old_version, new_version):
"""Update setup.py."""
replace_string_in_line("_VERSION = '%s'" % old_version.string,
"_VERSION = '%s'" % new_version.string, SETUP_PY) Community Discussions
Trending Discussions on py
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
Here's an example of what I mean:
...ANSWER
Answered 2021-Dec-16 at 10:38foo = 5 creates a local variable inside your function. def foo creates a global variable. That's why they can both have the same name.
If you refer to foo inside your foo() function, you're referring to the local variable. If you refer to foo outside that function, you're referring to the global variable.
Since it evidently causes confusion for people trying to follow the code, you probably shouldn't do this.
QUESTION
I saw a video about speed of loops in python, where it was explained that doing sum(range(N)) is much faster than manually looping through range and adding the variables together, since the former runs in C due to built-in functions being used, while in the latter the summation is done in (slow) python. I was curious what happens when adding numpy to the mix. As I expected np.sum(np.arange(N)) is the fastest, but sum(np.arange(N)) and np.sum(range(N)) are even slower than doing the naive for loop.
Why is this?
Here's the script I used to test, some comments about the supposed cause of slowing done where I know (taken mostly from the video) and the results I got on my machine (python 3.10.0, numpy 1.21.2):
updated script:
...ANSWER
Answered 2021-Oct-16 at 17:42From the cpython source code for sum sum initially seems to attempt a fast path that assumes all inputs are the same type. If that fails it will just iterate:
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 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
version pip 21.2.4 python 3.6
The command:
...ANSWER
Answered 2021-Nov-19 at 13:30It looks like setuptools>=58 breaks support for use_2to3:
So you should update setuptools to setuptools<58 or avoid using packages with use_2to3 in the setup parameters.
I was having the same problem, pip==19.3.1
QUESTION
I am trying to do a regular import in Google Colab.
This import worked up until now.
If I try:
ANSWER
Answered 2021-Oct-15 at 21:11Found the problem.
I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
So just reverting back to pyyaml version 5.4.1 solved the problem.
For more information check versions of pyyaml here.
See this issue and formal answers in GitHub
##################################################################
For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:
QUESTION
I have an array of positive integers. For example:
...ANSWER
Answered 2022-Feb-27 at 22:44This problem has a fun O(n) solution.
If you draw a graph of cumulative sum vs index, then:
The average value in the subarray between any two indexes is the slope of the line between those points on the graph.
The first highest-average-prefix will end at the point that makes the highest angle from 0. The next highest-average-prefix must then have a smaller average, and it will end at the point that makes the highest angle from the first ending. Continuing to the end of the array, we find that...
These segments of highest average are exactly the segments in the upper convex hull of the cumulative sum graph.
Find these segments using the monotone chain algorithm. Since the points are already sorted, it takes O(n) time.
QUESTION
I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:
...ANSWER
Answered 2021-Aug-26 at 14:53I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install py
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
