ACYLS | Any Color You Like Simple icon pack | Icon library

by worron Python Version: Current License: No License

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

kandi X-RAY | ACYLS Summary

ACYLS is a Python library typically used in User Interface, Icon applications. ACYLS has no bugs, it has no vulnerabilities and it has low support. However ACYLS build file is not available. You can download it from GitHub.

Any Color You Like Simple icon pack

Support

Quality

Security

License

Reuse

Support

ACYLS has a low active ecosystem.

It has 116 star(s) with 11 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 24 have been closed. On average issues are closed in 15 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ACYLS is current.

Quality

ACYLS has 0 bugs and 0 code smells.

Security

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

ACYLS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ACYLS 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

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

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

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Build all colorlist handlers
Update the colorlist
Set the value
Set color to auto
Builds icon groups
Reads the icon group data
Check if a directory is a directory
Update the iconchanger
Switch the given pack name
Called when the application is changed
Update the alternate group
Called when the filter group is changed
Setup color button
Override save method
Load the icon view
Rebuilds the icons
Build a handler for the widget
Called when the combo box has changed
Decorator for multithread events
Create a new double icon buffer
Called when a page is changed
Build a change handler function
Update the color selection
Called when the handler is changed
Called when an alternative theme is changed
Builds a dialog action

Get all kandi verified functions for this library.

ACYLS Key Features

No Key Features are available at this moment for ACYLS.

ACYLS Examples and Code Snippets

No Code Snippets are available at this moment for ACYLS.

Community Discussions

Trending Discussions on ACYLS

How can I get this quadratic fit to plateau?

QUESTION

How can I get this quadratic fit to plateau?

Asked 2020-Jun-03 at 18:51

I have two variables, x and y, that are random variables. I want to fit a curve to them that plateaus. I've been able to do this using an exponential fit but I'd like to do so with a quadratic fit as well.

How can I get the fit to flatten out at the top? FWIW, the y data were generated such that no value goes above: 4300. So probably in the new curve it should have this requirement.

...

ANSWER

Answered 2020-Jun-03 at 02:51

I'm not too familiar with scipy.optimise but, if you find the Euclidian distance between the point that contains x-max and the one that contains your y-max, divide it in half and do some trig, you could use that coord to either force your quadratic through it, or use it in your array. (again not too familiar with scipy.optimise so I'm not sure if that first option is possible, but the second should lessen the downwards curve)

I can provide the proof if you don't understand.

Source https://stackoverflow.com/questions/62160639

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

Vulnerabilities

No vulnerabilities reported

Install ACYLS

You can download it from GitHub.
You can use ACYLS 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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