just-too-easy | Foosball

by nathanjcochran Python Version: Current License: No License

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

kandi X-RAY | just-too-easy Summary

just-too-easy is a Python library. just-too-easy has no bugs, it has no vulnerabilities and it has low support. However just-too-easy build file is not available. You can download it from GitHub.

Foosball

Support

Quality

Security

License

Reuse

Support

just-too-easy has a low active ecosystem.

It has 7 star(s) with 6 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 22 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of just-too-easy is current.

Quality

just-too-easy has no bugs reported.

Security

just-too-easy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

just-too-easy 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

just-too-easy releases are not available. You will need to build from source code and install.

just-too-easy has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Register a new shot
Return the starting side and position of the player
Updates elo
Adjust the player statistics
Choose a given backend
Inverse of the inverse function
Generate the inverse function of cdf
Update all players
Reset the statistics
Draws the pdf of a curve
Calculates the trueskill loss
Quality score
Updates the value of the Gaussian distribution
Enables backward compatibility
Rate ratings
Calculate the mean value
The trueskill gain
Summarize the polynomial
Calculate the gradient of the gradient
Deprecated function
Update player
Set the environment as global variables
Updates the polynomial index
Calculate the draw probability for drawing
Deprecated
Return the width of a window

Get all kandi verified functions for this library.

just-too-easy Key Features

No Key Features are available at this moment for just-too-easy.

just-too-easy Examples and Code Snippets

No Code Snippets are available at this moment for just-too-easy.

Community Discussions

No Community Discussions are available at this moment for just-too-easy.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install just-too-easy

You can download it from GitHub.
You can use just-too-easy 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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