nylo | Nylo 's programming language interpreter | Interpreter library

by veggero Python Version: Current License: Non-SPDX

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

kandi X-RAY | nylo Summary

nylo is a Python library typically used in Utilities, Interpreter applications. nylo has no bugs, it has no vulnerabilities and it has low support. However nylo build file is not available and it has a Non-SPDX License. You can download it from GitHub.

Nylo's programming language interpreter.

Support

Quality

Security

License

Reuse

Support

nylo has a low active ecosystem.

It has 19 star(s) with 3 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 28 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nylo is current.

Quality

nylo has 0 bugs and 0 code smells.

Security

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

nylo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nylo has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

nylo releases are not available. You will need to build from source code and install.

nylo has no build file. You will be need to create the build yourself to build the component from source.

nylo saves you 210 person hours of effort in developing the same functionality from scratch.

It has 514 lines of code, 44 functions and 7 files.

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

Top functions reviewed by kandi - BETA

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

Parse code
Apply operator
Add nat
Parse a list
Writes the value to the wire
Check if code is defined in the mesh
Return the value of a named path
Clone the dictionary
Skip some characters
Assume that the character is in
Checks if the code is in a sequence of characters
Format an unexpected character
Return the number representation of a mesh
Seek a mesh by path
Evaluate a path
Convert a mesh
Binds the name to the instance
Skip characters from the source

Get all kandi verified functions for this library.

nylo Key Features

No Key Features are available at this moment for nylo.

nylo Examples and Code Snippets

No Code Snippets are available at this moment for nylo.

Community Discussions

Trending Discussions on nylo

API Gateway: ok on TEST button, 500 on Curl

QUESTION

API Gateway: ok on TEST button, 500 on Curl

Asked 2019-Jan-14 at 11:46

I checked all configurations and still cannot understand why it happens... My endpoint:

My successful Logs in TEST:

...

ANSWER

Answered 2019-Jan-13 at 18:02

Most of the time this is due to the 'Deploy API' issue. Did you forget to deploy after making changes?

You can also check in deployment history in those stages.

Enable Binary support for API Gateway: EDIT1:

The one part that is missing is enabling the passthrough for response. Checkout how to send binary response from a lambda or other services.

https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-payload-encodings-configure-with-console.html

On the otherside you will have a problem when the size exceeds 6 MB. If the size is small then good.

Source https://stackoverflow.com/questions/54150912

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

Vulnerabilities

No vulnerabilities reported

Install nylo

You can download it from GitHub.
You can use nylo 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: