function_trace

by RedHatQE Python Version: 1.1.4 License: No License

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

kandi X-RAY | function_trace Summary

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

function_trace

Support

Quality

Security

License

Reuse

Support

function_trace has a low active ecosystem.

It has 17 star(s) with 7 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 5 have been closed. On average issues are closed in 22 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of function_trace is 1.1.4

Quality

function_trace has 0 bugs and 0 code smells.

Security

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

function_trace code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

function_trace 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

function_trace 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.

function_trace saves you 83 person hours of effort in developing the same functionality from scratch.

It has 214 lines of code, 27 functions and 2 files.

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

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function_trace Key Features

No Key Features are available at this moment for function_trace.

function_trace Examples and Code Snippets

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Community Discussions

Trending Discussions on function_trace

Python, conditional use of a decorator (package not installed in all env)

QUESTION

Python, conditional use of a decorator (package not installed in all env)

Asked 2018-Mar-10 at 00:43

I am using New Relic to monitor my Python (2.7) app, but only in my Production environment. I want to use their function_trace decorator.

In wsgi.py

...

ANSWER

Answered 2018-Mar-10 at 00:43

A decorator takes in a function and returns a new function from it. So if you want a conditional decorator, all you need is to return the initial function when you do not want the decorator to be applied.

Your specific case

Source https://stackoverflow.com/questions/49203954

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

Vulnerabilities

No vulnerabilities reported

Install function_trace

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