yarn-deduplicate | Deduplication tool for yarn.lock files | Build Tool library

by atlassian JavaScript Version: v3.1.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | yarn-deduplicate Summary

yarn-deduplicate is a JavaScript library typically used in Utilities, Build Tool, NPM, Amazon S3 applications. yarn-deduplicate has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Deduplication tool for yarn.lock files

Support

Quality

Security

License

Reuse

Support

yarn-deduplicate has a medium active ecosystem.

It has 912 star(s) with 44 fork(s). There are 26 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 28 have been closed. On average issues are closed in 119 days. There are 22 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of yarn-deduplicate is v3.1.0

Quality

yarn-deduplicate has 0 bugs and 0 code smells.

Security

yarn-deduplicate has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

yarn-deduplicate code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

yarn-deduplicate is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

yarn-deduplicate releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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yarn-deduplicate Key Features

No Key Features are available at this moment for yarn-deduplicate.

yarn-deduplicate Examples and Code Snippets

No Code Snippets are available at this moment for yarn-deduplicate.

Community Discussions

Trending Discussions on yarn-deduplicate

JupyterLab TensorFlow 2.3 Build Failed with 524

Can't compile sqlite3 as a native addon, Electron React Boilerplate project

Jupyter lab fails to install any extension: Assertion `data' failed

QUESTION

JupyterLab TensorFlow 2.3 Build Failed with 524

Asked 2022-Mar-02 at 16:51

I created a new notebook in Google Cloud Vertex-AI that has the following properties:

When I open the notebook, I am prompted by the following message:

After some time, I get the following error message:

...

ANSWER

Answered 2022-Mar-02 at 16:51

To answer your question and to be use as a workaround, you should using the following command (as show on the error commit about this issue):

Source https://stackoverflow.com/questions/71265480

QUESTION

Can't compile sqlite3 as a native addon, Electron React Boilerplate project

Asked 2021-Mar-10 at 22:12

I'm building a project based off the Electron React Boilerplate project. I am running MacOS 10.15.7 and node v14.15.1.

I'm trying to install sqlite3 package. Since it's a native dependency, I ran yarn add sqlite3 inside the src/ directory, like it says to do here. The compilation fails with the following output:

...

ANSWER

Answered 2021-Mar-10 at 22:12

I downgraded the sqlite3 package to v5.0.0 and it rebuilt correctly. Hope this helps anyone else with the same issue.

Source: nodejs electronjs sqlite3 - use of undeclared identifier 'napi_is_detached_arraybuffer'

Source https://stackoverflow.com/questions/66466890

QUESTION

Jupyter lab fails to install any extension: Assertion `data' failed

Asked 2020-Apr-07 at 09:25

I tried to install @jupyter-widgets/jupyterlab-manager:

...

ANSWER

Answered 2020-Apr-07 at 09:25

JupyterLab 1.x checks memory size before build (ensure-max-old-space line), and the default was 4GB. As I am using Raspberry Pi, the memory did not meet this requirement. That's why the assertion failed.

But JupyterLab 2.0.0 changed this behavior because Node 12+ handles the memory. (changelog, PR). And I successfully built JupyterLab 2.0.1 with Node v10.15.2 after change swap size to 1000 MB (500 MB is enough, I think).

However JupyterLab 2.1.0, reverted that PR to support Node 10+ again.

To bypass the check with less than 4 GB memory, you can either:

install jupyterlab>=2.0.0,<2.1.0
or set environment variable NODE_OPTIONS=--max_old_space_size=2048 when building. You may want to change 2048 to a proper MB of memory based on your system. This option was added after 1.2.0.

And make sure you do have enough memory to build :)

Source https://stackoverflow.com/questions/60450528

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

Vulnerabilities

No vulnerabilities reported

Install yarn-deduplicate

Install the package globally:. This package also works wth npx, so you don't need to install it.

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: