logpp | A modern , fast , structured logging framework in C

by oktal C++ Version: v0.1.1 License: MIT

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

kandi X-RAY | logpp Summary

logpp is a C++ library typically used in Logging applications. logpp has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

The logging framework you've always dreamed of. Log events are first recorded from a Logger, formatted with a Formatter like logfmt or pattern and sent to a Sink for persistence or visualization like console, file and others. Unlike other well-known logging frameworks, logpp has been designed with the idea of enriching log events with information called structured data. The act of adding data to log messages is called structured logging.

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Quality

Security

License

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Support

logpp has a low active ecosystem.

It has 29 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 14 have been closed. On average issues are closed in 43 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of logpp is v0.1.1

Quality

logpp has 0 bugs and 0 code smells.

Security

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

logpp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

logpp is licensed under the MIT License. This license is Permissive.

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

Reuse

logpp releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 28 lines of code, 2 functions and 1 files.

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

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logpp Key Features

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logpp Examples and Code Snippets

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Community Discussions

Trending Discussions on logpp

Python overflow cause by product of many probabilities, inversion of a large covariance matrix, and computation of its determinant

OpenGL is not rendering my cube

QUESTION

Python overflow cause by product of many probabilities, inversion of a large covariance matrix, and computation of its determinant

Asked 2019-Nov-10 at 21:48

So I have a function like this:

...

ANSWER

Answered 2019-Nov-10 at 19:23

a couple of pointers:

note that when dealing with probabilities you normally want to stay in "log space" as everything is non-negative and code tends to use values that under/overflow floating point numbers easily
linear algebra libraries have lots of tools for dealing with ill conditioned and other numerical instabilities, check out the linalg tutorial for a few pointers

in your case I'd rewrite the function to be:

Source https://stackoverflow.com/questions/58784060

QUESTION

OpenGL is not rendering my cube

Asked 2018-Feb-18 at 16:27

I have recently started learning OpenGL with the tutorial on http://www.opengl-tutorial.org. The first few tutorials went fine, and I got my triangle on the screen. Now I moved on to the cube tutorial, but I got stuck on the following problem. I only made 2 big changes to the triangle program to render my cube:

I changed the triangle to a cube by adding more vertices
I moved all of the initializing code from my main function into different other functions.

The problem is that when I run the program, it compiles fine and shows me a dark blue screen (the color I had set for clearing the screen), but it doesn't render my cube.

My full code is here:

...

ANSWER

Answered 2018-Feb-18 at 15:58

There are several problems in the code:

You are disabling all vertex attributes before drawing. The calls to glDisableVertexAttribArray have to go after glDrawArrays, otherwise no data is attached when drawing.

The even better solution would be to move the VAO setup before the main-loop and never call glDisableVertexAttribArray at all. The pointers never change anyway, and storing the vertex attribute setup is exactly what a VAO is made for. Seems that the tutorial is very suboptimal in explaining/using them.

Another problem is that this line:

Source https://stackoverflow.com/questions/48853400

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

Vulnerabilities

No vulnerabilities reported

Install logpp

Clone the repo git clone https://github.com/oktal/logpp.git
Create a build directory cd logpp mkdir build
Install dependencies cd build conan install ..
Build the library conan build ..
This example demonstrates how to setup a manual logger to log to a file.

Support

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