contrib | Implementations of ideas from recent papers | Translation library

by pytorch Python Version: Current License: No License

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | contrib Summary

contrib is a Python library typically used in Utilities, Translation applications. contrib has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install contrib' or download it from GitHub, PyPI.

Implementations of ideas from recent papers

Support

Quality

Security

License

Reuse

Support

contrib has a low active ecosystem.

It has 380 star(s) with 40 fork(s). There are 180 watchers for this library.

It had no major release in the last 6 months.

There are 19 open issues and 5 have been closed. On average issues are closed in 48 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of contrib is current.

Quality

contrib has 0 bugs and 0 code smells.

Security

contrib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

contrib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

contrib does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

contrib 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.

contrib saves you 473 person hours of effort in developing the same functionality from scratch.

It has 1115 lines of code, 99 functions and 12 files.

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

Top functions reviewed by kandi - BETA

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

Forward function
Compute the film product

Get all kandi verified functions for this library.

contrib Key Features

No Key Features are available at this moment for contrib.

contrib Examples and Code Snippets

Transforms Variables Variables in contrib .

python

Lines of Code : 84

License : Non-SPDX (Apache License 2.0)

Copy

def _contrib_layers_variance_scaling_initializer_transformer(
    parent, node, full_name, name, logs):
  """Updates references to contrib.layers.variance_scaling_initializer.

  Transforms:
  tf.contrib.layers.variance_scaling_initializer(
    facto

Adds contrib support for the given symbol .

python

Lines of Code : 5

License : Non-SPDX (Apache License 2.0)

Copy

def add_contrib_direct_import_support(symbol_dict):
  """Add support for `tf.contrib.*` alias `contrib_*.` Updates dict in place."""
  for symbol_name in list(symbol_dict.keys()):
    symbol_alias = symbol_name.replace("tf.contrib.", "contrib_")

Community Discussions

Trending Discussions on contrib

How to dynamically build a resources (V1ResourceRequirements) object for a kubernetes pod in airflow

Django form doesn't display

Espresso UI Test Cancelled with no error message

Uvicorn async workers are still working synchronously

How to setup .NET 6 with Dapper Identity and Discord Login

M1 Mac - GDAL Wrong Architecture Error [Django]

How to get ONLY the bundle file size of a Webpack build without all the extra stuff

GDB keeps downloading debug info

Spark-submit options for gcs-connector to access google storage

'django_1 | no port[s] to connect to' after running docker-compose up

QUESTION

How to dynamically build a resources (V1ResourceRequirements) object for a kubernetes pod in airflow

Asked 2022-Mar-06 at 16:26

I'm currently migrating a DAG from airflow version 1.10.10 to 2.0.0.

This DAG uses a custom python operator where, depending on the complexity of the task, it assigns resources dynamically. The problem is that the import used in v1.10.10 (airflow.contrib.kubernetes.pod import Resources) no longer works. I read that for v2.0.0 I should use kubernetes.client.models.V1ResourceRequirements, but I need to build this resource object dynamically. This might sound dumb, but I haven't been able to find the correct way to build this object.

For example, I've tried with

...

ANSWER

Answered 2022-Mar-06 at 16:26

The proper syntax is for example:

Source https://stackoverflow.com/questions/71241180

QUESTION

Django form doesn't display

Asked 2022-Feb-25 at 19:51

I'm trying to develop a simple Django app of a contact form and a thanks page. I'm not using Django 'admin' at all; no database, either. Django 3.2.12. I'm working on localhost using python manage.py runserver

I can't get the actual form to display at http://127.0.0.1:8000/contact/contact; all I see is the submit button from /contact/contactform/templates/contact.html:

Static files load OK: http://127.0.0.1:8000/static/css/bootstrap.css

The thanks.html page loads OK: http://127.0.0.1:8000/contact/thanks

This is the directory structure:

/contact/contact/settings.py

...

ANSWER

Answered 2022-Feb-17 at 03:06

The form does not display as you are not passing it into your template. You can do this instead in the contact view:

Source https://stackoverflow.com/questions/71145982

QUESTION

Espresso UI Test Cancelled with no error message

Asked 2022-Feb-24 at 19:05

Here is the problem when I run my UI test.

But the ExampleInstrumentedTest is working.

This is my test file, I already comment out everything, leaving an empty function

...

ANSWER

Answered 2022-Feb-24 at 19:05

I had the same error.

I used adb and logcat to view the logs: adb logcat

I found this error in my logs:

Source https://stackoverflow.com/questions/68976841

QUESTION

Uvicorn async workers are still working synchronously

Asked 2022-Feb-07 at 18:39

Question in short

I have migrated my project from Django 2.2 to Django 3.2, and now I want to start using the possibility for asynchronous views. I have created an async view, setup asgi configuration, and run gunicorn with a Uvicorn worker. When swarming this server with 10 users concurrently, they are served synchronously. What do I need to configure in order to serve 10 concurrent users an async view?

Question in detail

This is what I did so far in my local environment:

I am working with Django 3.2.10 and Python 3.9.
I have installed gunicorn and uvicorn through pip
I have created an asgi.py file with the following contents

...

ANSWER

Answered 2022-Feb-06 at 21:43

When running the gunicorn command, you can try to add workers parameter with using options -w or --workers.

It defaults to 1 as stated in the gunicorn documentation. You may want to try to increase that value.

Example usage:

Source https://stackoverflow.com/questions/70864474

QUESTION

How to setup .NET 6 with Dapper Identity and Discord Login

Asked 2022-Jan-29 at 17:34

I'm trying to figure out how to setup a login via Discord Oauth2 while using Dapper as my ORM.

Microsoft has a guide here that I have followed to setup all of my stores. I infact can call CreateAsync() method and a user gets created in my database, so I believe that side of things is completely setup.

My issues lie within external login. Below you will find what I have tried.

Program.cs:

...

ANSWER

Answered 2022-Jan-29 at 17:34

Firstly... We need to take a look at the implementation of the internal method GetExternalLoginInfoAsync inside SignInManager.cs and take note of all the conditions that could possibly lead to null being returned.

I will provide my answer as comments within the code below:

Source https://stackoverflow.com/questions/70794402

QUESTION

M1 Mac - GDAL Wrong Architecture Error [Django]

Asked 2022-Jan-23 at 19:12

I'm trying to get a django project up and running, which depends on GDAL library. I'm working on a M1 based mac.

Following the instructions on official Django docs, I've installed the necessary packages via brew

...

ANSWER

Answered 2021-Nov-23 at 07:35

Try using the new arm version of python!

Source https://stackoverflow.com/questions/68561453

QUESTION

How to get ONLY the bundle file size of a Webpack build without all the extra stuff

Asked 2022-Jan-05 at 14:12

I need to get the bundle file size as a command output or have it written to a file.

I've considered the webpack-bundle-analyzer, but the command and JSON file output seems to be doing so much that is irrelevant for my use case.

I've also considered the bundlesize package but it mostly does a comparison check and reports the fail or success status as the command output.

If anyone has any ideas on what relevant tools, commands, or flags can help accomplish this. It'll be greatly appreciated.

Cheers

...

ANSWER

Answered 2022-Jan-05 at 14:12

If you are looking for something very specific. You can try creating your own plugin code to extract what you need.

Source https://stackoverflow.com/questions/68716056

QUESTION

GDB keeps downloading debug info

Asked 2021-Nov-28 at 12:59

Every now and then, when I launch a debug process, GDB starts by downloading all debug info for all dependencies, which is not negligeable. Given the fact that dependencies don't get added THAT often, I suspect it's because I am using rolling distro, so every time I perform a distribution upgrade, GDB will re-downloads debug info upon next launch (might be completely wrong on that one, I don't know)

After looking into documentation, I tried:

...

ANSWER

Answered 2021-Sep-23 at 11:36

GDB uses debuginfod_find_debuginfo() to find and download the debug info files. Documentation says:

Source https://stackoverflow.com/questions/69290986

QUESTION

Spark-submit options for gcs-connector to access google storage

Asked 2021-Sep-14 at 18:57

I am using spark-job on a self-managed cluster (like local environment) while accessing buckets on google storage.

...

ANSWER

Answered 2021-Sep-14 at 18:57

As mentioned in the comments, this stems from a Guava version incompatibility between the GCS connector's dependency vs what you have bundled in your Spark distro. Specifically, the GCS connector hadoop3-2.2.2 depends on Guava 30.1-jre whereas Spark 3.1.2 brings Guava 14.0.1 as a "provided" dependency.

In the two different commands, it was more-or-less luck of the draw that classpath loading happened in the right order for your first approach to work, and it could end up failing unexpectedly again when other jars are added.

Ideally you'll want to host your own jarfile anyways to minimize runtime dependencies on external repositories (Maven repository), so pre-installing the jarfile is the right approach. When you do that, you should consider using the full shaded jarfile (also available on Maven central) instead of the minimal GCS connector jarfile to avoid classloading version issues in the future.

Source https://stackoverflow.com/questions/69172994

QUESTION

'django_1 | no port[s] to connect to' after running docker-compose up

Asked 2021-Aug-30 at 21:27

I am new to docker, and have written a containerized django app, and react app. When I go to run docker-compose up I get a weird, perpetuating error that django has no port(s) to connect to. Running the server from the react and python side both work.

Error message

Frontend dockerfile:

...

ANSWER

Answered 2021-Aug-30 at 21:27

This is a netcat error. Specifically, it occurs when you provide a hostname but not a port while running nc.

Example:

Source https://stackoverflow.com/questions/68946246

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

Vulnerabilities

No vulnerabilities reported

Install contrib

You can install using 'pip install contrib' or download it from GitHub, PyPI.
You can use contrib 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 .

Find more information at: