semvec/pypi-packages huggingface dataset:
brt35 2.0.10
aownierewe
Requires Python: >=3.6, <4
Keywords: sample,setuptools,development

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fw-ddsm 0.10.8
Frank-Wolfe-based distributed demand scheduling method package
Requires Python: >=3.6

# FW-DDSM

A python package for implementing the Frank-Wolfe-based distributed demand scheduling method. 

`pip install fw-ddsm`

# Setting up the ubuntu envrionment for using FW-DDSM

1. install python3 (should come with ubuntu v20
2. install pip
`sudo apt-get install python3-pip`
3. install dependencies
`pip3 install fw-ddsm pandas pandas_bokeh numpy more-itertools`
4. install snap
`sudo apt-get install snapd`
5. install minizinc bundle
`sudo snap install minizinc --classic`
   
# Features of FW-DDSM

1. Pricing master problem

Minimise the inconvenience, consumption cost and the peak-to-average ratio of the aggregate demand profile of all households. 

2. Household subproblem

Scheduling both the appliances and the batteries to minmise the cost, the inconvenience and the peak-to-average ratio of the household.
lang-localization 0.1.1
Translate your program
Keywords: python,language,localize,translate

#lang-localization
With lang-localization you can translate your program to different languages.
It is not possible translating your program easier.

## How to use
Start by creating a folder named "localization" in the directory where your python file is located. For every language you want to add you need to create a file with the .loc ending in the new directory. For example "de.loc" or "en.loc". 
The inside of the file must look like this:
```
hw = Hello World!
button1 = Press Me
``` 
Your python file must look like this:
```python
import localization

localization.setLang("de") # The string must be the same as the filename of your translation without .loc

print(localization.get("hw"))

randomButtonCreateFunction(text=localization.get("button1"))
```