json2yaml | Convert JSON to YAML or vice versa

by drbild Python Version: 1.2.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | json2yaml Summary

json2yaml is a Python library. json2yaml has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install json2yaml' or download it from GitHub, PyPI.

Command line utilities to convert between JSON and YAML while preserving the order of associative arrays. Preserving the mapping order is helpful to humans reading the documents, despite not affecting their meaning.

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Support

json2yaml has a low active ecosystem.

It has 84 star(s) with 17 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 2 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of json2yaml is 1.2.0

Quality

json2yaml has 0 bugs and 0 code smells.

Security

json2yaml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

json2yaml code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

json2yaml 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

json2yaml 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.

Installation instructions, examples and code snippets are available.

json2yaml saves you 9 person hours of effort in developing the same functionality from scratch.

It has 28 lines of code, 0 functions and 1 files.

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

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json2yaml Key Features

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json2yaml Examples and Code Snippets

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Community Discussions

Trending Discussions on json2yaml

YAML multi-line regex trim comments and whitespace

QUESTION

YAML multi-line regex trim comments and whitespace

Asked 2020-Apr-04 at 11:20

How do I write a regular expression in yaml across multiple lines that, when converted to json, is a single line without extra spaces or comments?

The VSCode docs outline a way to write a single regular expression in yaml that spans multiple lines with comments. I've tried their suggestions, and my output always includes the newlines and comments.

Here's the yaml from their example, saved at syntaxes/abc.tmLanguage.yaml:

...

ANSWER

Answered 2020-Apr-04 at 11:20

None of that is a problem if you process the regex in free-spacing mode. The comments and whitespace will be thrown away by the regex engine. Folded scalars in YAML will produce at least one space token per line break, so you can't really use it to write regexes without free-spacing mode anyway.

Here's a breakdown why YAML parses your input like this:

The first issue is a peculiar definition in the spec about the handling of folded scalars:

Lines starting with white space characters (more-indented lines) are not folded.

Your first line defines the indentation of the folded scalar. Since all other lines are more indented, they start with space characters and thus all line breaks are kept.

The second issue is that you seem to assume that YAML recognizes comments within a folded scalar, which it doesn't. A folded scalar treats all contained characters as content. Since what you intend to be comments are treated as content, so is the whitespace before those comments.

There are only two ways of commenting a folded scalar in YAML:

Source https://stackoverflow.com/questions/61020555

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

Vulnerabilities

No vulnerabilities reported

Install json2yaml

You can install using 'pip install json2yaml' or download it from GitHub, PyPI.
You can use json2yaml 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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