alpg | Artificial Load Profile Generator for DSM | Download Utils library

by GENETX Python Version: Current License: GPL-3.0

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

kandi X-RAY | alpg Summary

alpg is a Python library typically used in Manufacturing, Utilities, Energy, Utilities, Utilities, Download Utils applications. alpg has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However alpg build file is not available. You can download it from GitHub.

Artifical load profile generator.

Support

Quality

Security

License

Reuse

Support

alpg has a low active ecosystem.

It has 24 star(s) with 15 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 580 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of alpg is current.

Quality

alpg has no bugs reported.

Security

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

License

alpg is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

Writes a csv row of electricity count
Write a row to a CSV file
Write a CSV line
Simulate a test day
Simulate a person
Simulate a weekend
Generates the properties for each company
Return the minimum value of a Gaussian distribution
Generates a random person
Generate random heat parameters
This function creates the empty data structures
Create a file
Scale the consumption profile
Calculate reactive power profile
Generate a random generator
Calculate thermal Gain
Add PV

Get all kandi verified functions for this library.

alpg Key Features

No Key Features are available at this moment for alpg.

alpg Examples and Code Snippets

No Code Snippets are available at this moment for alpg.

Community Discussions

Trending Discussions on alpg

Hovering Div Elements

QUESTION

Hovering Div Elements

Asked 2017-Apr-21 at 18:40

so i have a container div which holds 5 other divs (see picture ) and on hover those divs slide in the direction the arrow is pointed ( to right of picture ). I achieved this simply with CSS's :hover property. However, it achieved it's purpose but I simply just do not like the result ( see snippet ); certain mouse positions would cause the div to go back to the original position then back to hovered position again. Any ideas for improving the hover property? Picture

...

ANSWER

Answered 2017-Apr-21 at 18:40

Instead of moving the main div, you create pseudo elements and move them.

When done like that, it will solve the hover issue.

Note, you might need to adjust the movement a little, I just made them up to show how-to

Source https://stackoverflow.com/questions/43549259

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

Vulnerabilities

No vulnerabilities reported

Install alpg

You can download it from GitHub.
You can use alpg 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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