import-order | (This project is abandoned We recommend you to use flake8-import-order-spoqa instead) | Plugin library

by spoqa Python Version: 0.0.11 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | import-order Summary

import-order is a Python library typically used in Plugin applications. import-order has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. However import-order has 1 bugs. You can install using 'pip install import-order' or download it from GitHub, PyPI.

(This project is abandoned. We recommend you to use flake8-import-order-spoqa instead.)

Support

Quality

Security

License

Reuse

Support

import-order has a low active ecosystem.

It has 54 star(s) with 6 fork(s). There are 26 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 14 have been closed. On average issues are closed in 20 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of import-order is 0.0.11

Quality

import-order has 1 bugs (1 blocker, 0 critical, 0 major, 0 minor) and 19 code smells.

Security

import-order has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

import-order code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

import-order is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

import-order releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

import-order saves you 249 person hours of effort in developing the same functionality from scratch.

It has 605 lines of code, 32 functions and 17 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed import-order and discovered the below as its top functions. This is intended to give you an instant insight into import-order implemented functionality, and help decide if they suit your requirements.

Implementation of inspect . inspect . import_order .
Return a canonical sort key .
Return a list of site - packages .
Yield ImportItem objects .
Sort arguments by type .
Apply filters to files .
Helper function to format import names .
Sort a list of import names .
Get the package name from a filename .
Return the order of the package type .

Get all kandi verified functions for this library.

import-order Key Features

No Key Features are available at this moment for import-order.

import-order Examples and Code Snippets

No Code Snippets are available at this moment for import-order.

Community Discussions

Trending Discussions on import-order

ImportError: Module use of python39.dll conflicts with this version of Python

Pylint doesn't report wrong import order when using Django

How can I publish a javadoc.jar file with my Kotlin multiplatform project?

Importing Tensorflow

I have installed tensorflow and tflearn for creating chatbots during importing it shows errors

Import Tensorflow without NVIDIA GPU (ImportError: Could not find 'nvcuda.dll')

'cudart64_100.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH%

Running flake8 gives - AttributeError: 'OptionManager' object has no attribute 'config_options'

Kernel dies when running sample python code

Error in importing Keras with tensorflow-gpu backend (can't find libcublas.so.10.0)

QUESTION

ImportError: Module use of python39.dll conflicts with this version of Python

Asked 2021-May-06 at 03:13

I've been trying to import Tensorflow to jupypter notebook in a Python3 virtual env and I'm getting and error. I also have Python 2 installed.

In the virtual enviroment I've already installed this packages to make it work in Jupyter notebook: tensorflow numpy (upgrade) ipy_kernel nb_conda

From Jupyter Notebook i can select the virtual enviroment with the correct packages installed and can import packages like numpy but when trying to import tensorflow I get this error:

...

ANSWER

Answered 2021-May-06 at 03:13

Tensorflow nightly version support Python 3.9 for all the operating system.

Source https://stackoverflow.com/questions/67256661

QUESTION

Pylint doesn't report wrong import order when using Django

Asked 2021-Apr-19 at 18:01

Pylint doesn't report wrong import order when using Django. I have a file such as:

...

ANSWER

Answered 2021-Apr-19 at 18:01

I found that the wrong import order warning is only shown if I specify a directory name on the command line that is a Python package (has a file called init.py).

This is not the case for the main Django directory, only for its subdirectories. So I have to specify all subdirectories (Django apps) as arguments. Example:

Source https://stackoverflow.com/questions/67159344

QUESTION

How can I publish a javadoc.jar file with my Kotlin multiplatform project?

Asked 2021-Mar-26 at 07:36

I am trying to publish my Kotlin multiplatform library to Maven Central via Sonatype. This repository requires me to include a javadoc.jar file with my artifacts. Unfortunately, the IntelliJ IDEA project wizard and the Kotlin multiplatform docs do not help me do that. When running the Gradle task dokkaJavadoc (for the official Kotlin documentation tool Dokka), I get the error "Dokka Javadoc plugin currently does not support generating documentation for multiplatform project."

I actually do not need genuine JavaDocs for publishing - an empty javadoc.jar or one with other docs generated by Dokka would suffice. Since I have been a longtime Maven user and these are my first steps with Gradle, I have no idea how to do that.

build.gradle.kts:

...

ANSWER

Answered 2021-Mar-19 at 20:10

This answer is a cross-post from Kotlin Discussions. Credit goes to Lamba92_v2 of the JetBrains Team, who linked his solution in his project kotlingram.

I noticed I had another issue related to publishing: Signatures and POM information where not applied to all modules. But given Lamba92_v2's code I could resolve all publishing-related issues:

Source https://stackoverflow.com/questions/66512540

QUESTION

Importing Tensorflow

Asked 2020-Aug-09 at 04:50

I am not able to import tensorflow. I have uninstalled it and installed it again using !pip install --user tensorflow --upgrade --force-reinstall but then also its not getting imported. Below I have attached the error I am getting in importing tensorflow. I am also not able to use keras due to this issue because keras is using tensorflow backend.

...

ANSWER

Answered 2020-Aug-09 at 04:50

After searching a lot I found the problem and would like to share if someone face this issue then run your anaconda prompt as administrator and then use the command pip install --user tensorflow --force-reinstall

Source https://stackoverflow.com/questions/63313033

QUESTION

I have installed tensorflow and tflearn for creating chatbots during importing it shows errors

Asked 2020-May-27 at 15:07

this was my code

...

ANSWER

Answered 2020-May-27 at 15:07

Did you run pip install tensorflow==2.0.0? You should try running this:

Source https://stackoverflow.com/questions/62040101

QUESTION

Import Tensorflow without NVIDIA GPU (ImportError: Could not find 'nvcuda.dll')

Asked 2020-Apr-29 at 15:47

I have installed the tensorflow package using Anaconda Navigator. When I try to run import tensorflow in a jupyter notebook I get the following error:

...

ANSWER

Answered 2020-Apr-29 at 15:47

As discussed in the comments, the problem was only in your installation. Using anaconda-navigator isn't the best way to install tensorflow. My assumption is either tensorflow-base or tensorflow-estimate has a GPU dependency which is the reason why it kept showing the posted error message.

The best way to install tensorflow using conda is via conda-forge channel which is the official way. You can do that by running:

Source https://stackoverflow.com/questions/61502603

QUESTION

'cudart64_100.dll'. TensorFlow requires that this DLL be installed in a directory that is named in your %PATH%

Asked 2020-Apr-09 at 13:13

I'm trying to use a neural network, but I have a problem importing Tensorflow. It used to work well a few months ago. I think I've been trying to access my graphics card without having it, or at least without access to it. At the moment, here's the mistake:

...

ANSWER

Answered 2020-Apr-09 at 13:13

Here are some instructions: https://www.google.com/amp/s/mc.ai/how-to-install-cuda-10-and-cudnn-for-tensorflow-gpu-on-windows-10/amp/ Just download the dll, extract it to your prefered path and add this path to your environment variables.

Source https://stackoverflow.com/questions/61121937

QUESTION

Running flake8 gives - AttributeError: 'OptionManager' object has no attribute 'config_options'

Asked 2019-Dec-25 at 04:58

I installed flake8 using the following command.

...

ANSWER

Answered 2019-Mar-30 at 23:21

So, as per the comment posted by phd on this question, I did the following things.

Uninstall flake8: pip3 uninstall flake8
Clean directories: sudo rm -R /path/to/directory/flake8
Reinstall flake8: pip3 install flake8

And it worked :)

Source https://stackoverflow.com/questions/55427406

QUESTION

Kernel dies when running sample python code

Asked 2019-Oct-23 at 00:19

I was trying to run this code from https://keras.io/examples/cifar10_cnn/. Initially, it spat out errors regarding tensorflow and keras and cuda. I solved that by updating and all. Now when I run this code in Jupyter Notebooks, my kernel dies almost instantly. Mind you I am not intentionally using cuda, It just gave some error and I was surprised cause I didn't even program it to use that or whatever.

...

ANSWER

Answered 2019-Oct-23 at 00:19

You might be trying to grab the gpu by accident, but it doesn't look like it. You can try adding:

Source https://stackoverflow.com/questions/58513607

QUESTION

Error in importing Keras with tensorflow-gpu backend (can't find libcublas.so.10.0)

Asked 2019-May-23 at 09:50

I'm trying to run a library included in Keras, given that it's very power-consuming I'd like to use tensorflow-gpu as a backend. During import, I get this ImportError

...

ANSWER

Answered 2019-May-23 at 09:23

You can try to uninstall tensorflow with :

Source https://stackoverflow.com/questions/56271619

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install import-order

You can install using 'pip install import-order' or download it from GitHub, PyPI.
You can use import-order 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.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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